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The following scatterplot displays the finish time (in minutes) and age (in years) for the male racers at the 2018 Strawberry Stampede (a 10k race through Arroyo Grande).  The following scatterplot displays the finish time (in minutes) and age (in years) for the male racers at the 2018 Strawberry Stampede (a 10k race through Arroyo Grande).     Below are the same data for the female racers in this year's race.    -The p-value for a simulation-based test of the correlation coefficient for the females is 0.213. We have evidence that there is no association between female ages and female race finish times. Below are the same data for the female racers in this year's race. The following scatterplot displays the finish time (in minutes) and age (in years) for the male racers at the 2018 Strawberry Stampede (a 10k race through Arroyo Grande).     Below are the same data for the female racers in this year's race.    -The p-value for a simulation-based test of the correlation coefficient for the females is 0.213. We have evidence that there is no association between female ages and female race finish times. -The p-value for a simulation-based test of the correlation coefficient for the females is 0.213. We have evidence that there is no association between female ages and female race finish times.

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Annual measurements of the number of powerboat registrations (in thousands) and the number of manatees killed by powerboats in Florida were collected over the 14 years 1977-1990. A scatterplot of the data, least squares regression line, and correlation coefficient follow. Annual measurements of the number of powerboat registrations (in thousands) and the number of manatees killed by powerboats in Florida were collected over the 14 years 1977-1990. A scatterplot of the data, least squares regression line, and correlation coefficient follow.   -What is the predicted number of manatee deaths for a year with 600,000 powerboat registrations? -What is the predicted number of manatee deaths for a year with 600,000 powerboat registrations?

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-41.43+0.1...

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Data from gapminder.org on 184 countries was used to examine if there is an association between (average) female life expectancy (that is, the average lifespan of women in the country) and the average number of children women give birth to for the year 2019. A scatterplot of the data and a regression table from the Corr/Regression applet follows. Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data and a regression table from the Corr/Regression applet follows.   -Using the regression table output, what is the standardized statistic for a test of the regression slope. A)  123.78 B)  -21.60 C)  88.91 D)  -5.20 -Using the regression table output, what is the standardized statistic for a test of the regression slope.


A) 123.78
B) -21.60
C) 88.91
D) -5.20

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Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature) and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data. Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -Select the best explanation for how one sample would be simulated in order to generate the null distribution. A)  Holding the body temperatures constant, randomize the order of the social warmth scores. Plot the slope of the regression line of the shuffled data on the null distribution. B)  Add or subtract the appropriate value from each body temperature and social warmth score in order to force the null hypothesis to be true. Plot the slope of the regression line of the shifted data on the null distribution. C)  Flip a coin to decide whether to swap the values for body temperature and social warmth score or not. Plot the slope of the regression line of the randomized points on the null distribution. D)  Put each pair of (body temperature, social warmth score)  on a piece of paper. Draw with replacement 40 times. Plot the slope of the regression line of the resampled data on the null distribution. -Select the best explanation for how one sample would be simulated in order to generate the null distribution.


A) Holding the body temperatures constant, randomize the order of the social warmth scores. Plot the slope of the regression line of the shuffled data on the null distribution.
B) Add or subtract the appropriate value from each body temperature and social warmth score in order to force the null hypothesis to be true. Plot the slope of the regression line of the shifted data on the null distribution.
C) Flip a coin to decide whether to swap the values for body temperature and social warmth score or not. Plot the slope of the regression line of the randomized points on the null distribution.
D) Put each pair of (body temperature, social warmth score) on a piece of paper. Draw with replacement 40 times. Plot the slope of the regression line of the resampled data on the null distribution.

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Data from gapminder.org on 184 countries was used to examine if there is an association between (average) female life expectancy (that is, the average lifespan of women in the country) and the average number of children women give birth to for the year 2019. A scatterplot of the data follows. Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -Select the best explanation for how one sample would be simulated in order to generate the null distribution. A)  Holding the average number of children constant, randomize the order of the female life expectancies. Plot the correlation coefficient of the shuffled data on the null distribution. B)  Add or subtract the appropriate value from each average number of children and female life expectancy in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution. C)  Flip a coin to decide whether to swap the values for average number of children and female life expectancy or not. Plot the correlation coefficient of the randomized points on the null distribution. D)  Put each pair of (average number of children, female life expectancy)  on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution. -Select the best explanation for how one sample would be simulated in order to generate the null distribution.


A) Holding the average number of children constant, randomize the order of the female life expectancies. Plot the correlation coefficient of the shuffled data on the null distribution.
B) Add or subtract the appropriate value from each average number of children and female life expectancy in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution.
C) Flip a coin to decide whether to swap the values for average number of children and female life expectancy or not. Plot the correlation coefficient of the randomized points on the null distribution.
D) Put each pair of (average number of children, female life expectancy) on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution.

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Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature) and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data. Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -How would you interpret the slope of the regression line in the context of the study? A)  The correlation coefficient between body temperature and social warmth score is 0.461. B)  The predicted social warmth score when body temperature is zero degrees Celsius is -12.773. C)  A one degree Celsius increase in body temperature is associated with a predicted 0.461 increase in social warmth score. D)  About 46.1% of variability in social warmth scores can be explained by body temperature. -How would you interpret the slope of the regression line in the context of the study?


A) The correlation coefficient between body temperature and social warmth score is 0.461.
B) The predicted social warmth score when body temperature is zero degrees Celsius is -12.773.
C) A one degree Celsius increase in body temperature is associated with a predicted 0.461 increase in social warmth score.
D) About 46.1% of variability in social warmth scores can be explained by body temperature.

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Data from gapminder.org on 184 countries was used to examine if there is an association between (average) female life expectancy (that is, the average lifespan of women in the country) and the average number of children women give birth to for the year 2019. A scatterplot of the data follows. Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  -State the null and alternative hypotheses using proper notation.


A) Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  versus Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus
B) Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  versus Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus
C) Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  versus Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus
D) Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  versus Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data follows.   -State the null and alternative hypotheses using proper notation. A)    versus   B)    versus   C)    versus   D)    versus

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Annual measurements of the number of powerboat registrations (in thousands) and the number of manatees killed by powerboats in Florida were collected over the 14 years 1977-1990. A scatterplot of the data, least squares regression line, and correlation coefficient follow. Annual measurements of the number of powerboat registrations (in thousands)  and the number of manatees killed by powerboats in Florida were collected over the 14 years 1977-1990. A scatterplot of the data, least squares regression line, and correlation coefficient follow.   -The y-intercept is not a valid prediction of manatee deaths. Why? A)  It is an example of extrapolation. B)  We cannot observe a negative number of manatee deaths. C)  Both A and B D)  Neither A nor B -The y-intercept is not a valid prediction of manatee deaths. Why?


A) It is an example of extrapolation.
B) We cannot observe a negative number of manatee deaths.
C) Both A and B
D) Neither A nor B

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Data from gapminder.org on 184 countries was used to examine if there is an association between (average) female life expectancy (that is, the average lifespan of women in the country) and the average number of children women give birth to for the year 2019. A scatterplot of the data and a regression table from the Corr/Regression applet follows. Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data and a regression table from the Corr/Regression applet follows.   -Which of the approaches to a test of the regression slope are valid? A)  Simulation-based test B)  Theory-based test C)  Both A and B D)  Neither A nor B -Which of the approaches to a test of the regression slope are valid?


A) Simulation-based test
B) Theory-based test
C) Both A and B
D) Neither A nor B

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Data from gapminder.org on 184 countries was used to examine if there is an association between (average) female life expectancy (that is, the average lifespan of women in the country) and the average number of children women give birth to for the year 2019. A scatterplot of the data and a regression table from the Corr/Regression applet follows. Data from gapminder.org on 184 countries was used to examine if there is an association between (average)  female life expectancy (that is, the average lifespan of women in the country)  and the average number of children women give birth to for the year 2019. A scatterplot of the data and a regression table from the Corr/Regression applet follows.   -A 95% confidence interval for the population slope is (-5.68, -4.73) . How would you interpret this interval in the context of the study? A)  If we repeated this study many times, 95% of the regression slopes would fall between -5.68 and -4.73. B)  There is a 95% probability that the population slope is between -5.68 and -4.73. C)  We are 95% confident that the population slope is between -5.68 and -4.73. D)  A one baby increase in average number of babies per woman is associated with between a 4.73 and 5.68 year decrease in female life expectancy, with 95% confidence. E)  Both A and B F) Both B and C G)  Both C and D -A 95% confidence interval for the population slope is (-5.68, -4.73) . How would you interpret this interval in the context of the study?


A) If we repeated this study many times, 95% of the regression slopes would fall between -5.68 and -4.73.
B) There is a 95% probability that the population slope is between -5.68 and -4.73.
C) We are 95% confident that the population slope is between -5.68 and -4.73.
D) A one baby increase in average number of babies per woman is associated with between a 4.73 and 5.68 year decrease in female life expectancy, with 95% confidence.
E) Both A and B
F) Both B and C
G) Both C and D

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Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature) and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data. Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation.


A) Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  versus Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus
B) Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  versus Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus
C) Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  versus Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus
D) Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus  versus Social warmth is a term referring to the feeling of being connected to others. A study published in PLoS One in 2016 looked at a potential relationship between physical warmth (body temperature)  and social warmth among a group of 54 volunteers (Inagki et al.) . These volunteers had their oral temperature taken by a registered nurse and then assessed themselves using a scale of 1 to 5 on twelve items related to a feeling of social connection for which the average was recorded. Higher average scores indicated higher levels of social warmth. The theory was that the thermoregulatory system, which helps maintain a relatively warm internal body temperature, may also help people assess feelings of social connection. Below is a scatterplot and least-squares regression line of the data.   -State the null and alternative hypotheses for a simulation-based test of the slope using proper notation. A)    versus   B)    versus   C)    versus   D)    versus

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Babies born with low birth weights (less than 2500 grams) are at an increased risk for many infant diseases. Researchers in North Carolina collected data to see what variables may influence the birth weight (in grams) of a child, including whether the mother drank alcohol during pregnancy, whether the mother smoked during pregnancy, the mother's age (years) , the gestation of the pregnancy (number of weeks from conception until birth) , the mother's race, the length of the birth (hours) , and several others. The plot below summarizes some of the variables measured. Babies born with low birth weights (less than 2500 grams)  are at an increased risk for many infant diseases. Researchers in North Carolina collected data to see what variables may influence the birth weight (in grams)  of a child, including whether the mother drank alcohol during pregnancy, whether the mother smoked during pregnancy, the mother's age (years) , the gestation of the pregnancy (number of weeks from conception until birth) , the mother's race, the length of the birth (hours) , and several others. The plot below summarizes some of the variables measured.   -How would the correlation coefficient between birth weight and gestation period computed from all women in the sample compare to the correlation coefficient between birth weight and gestation period computed from only non-smoking women? A)  The correlation coefficient for the entire sample would be closer to 1 than the correlation coefficient for the non-smoking group. B)  The correlation coefficient for the entire sample would be closer to 0 than the correlation coefficient for the non-smoking group. C)  The correlation coefficient for the entire sample would be the same as the correlation coefficient for the non-smoking group. D)  We cannot determine how the two correlation coefficients compare based on this plot. -How would the correlation coefficient between birth weight and gestation period computed from all women in the sample compare to the correlation coefficient between birth weight and gestation period computed from only non-smoking women?


A) The correlation coefficient for the entire sample would be closer to 1 than the correlation coefficient for the non-smoking group.
B) The correlation coefficient for the entire sample would be closer to 0 than the correlation coefficient for the non-smoking group.
C) The correlation coefficient for the entire sample would be the same as the correlation coefficient for the non-smoking group.
D) We cannot determine how the two correlation coefficients compare based on this plot.

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Are people with bigger brains more intelligent? Forty college students volunteered to participate in a study which examined brain size (measured as 1000's of pixels counted in a brain scan) , and IQ scores (measured in points) . A scatterplot of the data is shown below. Are people with bigger brains more intelligent? Forty college students volunteered to participate in a study which examined brain size (measured as 1000's of pixels counted in a brain scan) , and IQ scores (measured in points) . A scatterplot of the data is shown below.   -Select the best explanation for how one sample would be simulated in order to generate the null distribution. A)  Flip a coin to decide whether to swap the values for brain size and IQ or not. Plot the correlation coefficient of the randomized points on the null distribution. B)  Holding the order of brain size values constant, randomize the order of the IQs. Plot the correlation coefficient of the shuffled data on the null distribution. C)  Put each pair of (brain size, IQ)  on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution. D)  Add or subtract the appropriate value from each brain size and IQ in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution. -Select the best explanation for how one sample would be simulated in order to generate the null distribution.


A) Flip a coin to decide whether to swap the values for brain size and IQ or not. Plot the correlation coefficient of the randomized points on the null distribution.
B) Holding the order of brain size values constant, randomize the order of the IQs. Plot the correlation coefficient of the shuffled data on the null distribution.
C) Put each pair of (brain size, IQ) on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution.
D) Add or subtract the appropriate value from each brain size and IQ in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution.

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Observations with values of the explanatory variable near the mean of the explanatory variable may potentially be influential.

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Annual measurements of the number of powerboat registrations (in thousands) and the number of manatees killed by powerboats in Florida were collected over the 14 years 1977-1990. A scatterplot of the data, least squares regression line, and correlation coefficient follow. Annual measurements of the number of powerboat registrations (in thousands) and the number of manatees killed by powerboats in Florida were collected over the 14 years 1977-1990. A scatterplot of the data, least squares regression line, and correlation coefficient follow.   -The year 1984 had 559,000 powerboat registrations and 34 manatee deaths. Calculate the residual for this observation. -The year 1984 had 559,000 powerboat registrations and 34 manatee deaths. Calculate the residual for this observation.

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34 - (-41....

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The graph below shows a scatter plot of medical expenses in the past year by age for a sample of Americans. The graph below shows a scatter plot of medical expenses in the past year by age for a sample of Americans.   Which one of the following is a true statement about the data shown in the graph? A)  The correlation must be close to one because there is a strong relationship between age and medical expenses. B)  Using correlation on the data shown in the graph above is not appropriate because the relationship shown in the graph is not linear. C)  Both A and B are true statements. D)  Neither A nor B is a true statement. Which one of the following is a true statement about the data shown in the graph?


A) The correlation must be close to one because there is a strong relationship between age and medical expenses.
B) Using correlation on the data shown in the graph above is not appropriate because the relationship shown in the graph is not linear.
C) Both A and B are true statements.
D) Neither A nor B is a true statement.

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Which of the following correlation coefficient values describes the weakest linear association between two variables.


A) -0.99
B) -0.23
C) 0.12
D) 0.38

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Are people with bigger brains more intelligent? Forty college students volunteered to participate in a study which examined brain size (measured as 1000's of pixels counted in a brain scan) , and IQ scores (measured in points) . A scatterplot of the data is shown below. Are people with bigger brains more intelligent? Forty college students volunteered to participate in a study which examined brain size (measured as 1000's of pixels counted in a brain scan) , and IQ scores (measured in points) . A scatterplot of the data is shown below.   -Below is a picture of a simulated null distribution of correlation coefficients created using the Corr/Regression applet. How would you use this distribution to calculate the p-value?   A)  Find the proportion of simulated correlation coefficients greater than zero. B)  Find the proportion of simulated correlation coefficients as far away from zero or further than the one observed. C)  Find the proportion of simulated correlation coefficients as small or smaller than the one observed. D)  Find the proportion of simulated correlation coefficients as large or larger than the one observed. -Below is a picture of a simulated null distribution of correlation coefficients created using the Corr/Regression applet. How would you use this distribution to calculate the p-value? Are people with bigger brains more intelligent? Forty college students volunteered to participate in a study which examined brain size (measured as 1000's of pixels counted in a brain scan) , and IQ scores (measured in points) . A scatterplot of the data is shown below.   -Below is a picture of a simulated null distribution of correlation coefficients created using the Corr/Regression applet. How would you use this distribution to calculate the p-value?   A)  Find the proportion of simulated correlation coefficients greater than zero. B)  Find the proportion of simulated correlation coefficients as far away from zero or further than the one observed. C)  Find the proportion of simulated correlation coefficients as small or smaller than the one observed. D)  Find the proportion of simulated correlation coefficients as large or larger than the one observed.


A) Find the proportion of simulated correlation coefficients greater than zero.
B) Find the proportion of simulated correlation coefficients as far away from zero or further than the one observed.
C) Find the proportion of simulated correlation coefficients as small or smaller than the one observed.
D) Find the proportion of simulated correlation coefficients as large or larger than the one observed.

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If the correlation coefficient between variables x and y is equal to zero, then we can say that x and y are not associated.

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Babies born with low birth weights (less than 2500 grams) are at an increased risk for many infant diseases. Researchers in North Carolina collected data to see what variables may influence the birth weight (in grams) of a child, including whether the mother drank alcohol during pregnancy, whether the mother smoked during pregnancy, the mother's age (years) , the gestation of the pregnancy (number of weeks from conception until birth) , the mother's race, the length of the birth (hours) , and several others. The plot below summarizes some of the variables measured. Babies born with low birth weights (less than 2500 grams)  are at an increased risk for many infant diseases. Researchers in North Carolina collected data to see what variables may influence the birth weight (in grams)  of a child, including whether the mother drank alcohol during pregnancy, whether the mother smoked during pregnancy, the mother's age (years) , the gestation of the pregnancy (number of weeks from conception until birth) , the mother's race, the length of the birth (hours) , and several others. The plot below summarizes some of the variables measured.   -Is whether the mother smoked during pregnancy a confounding variable in describing the relationship between gestation period and birth weight? A)  No, because smoking status is not associated with gestation period. B)  No, because smoking status is not associated with birth weight. C)  Yes, because mothers who smoke tend to have lighter babies, and mothers who smoke also tend to have shorter gestation periods. D)  Yes, because mothers who smoke tend to have heavier babies, and mothers who smoke also tend to have longer gestation periods. E)  We cannot determine whether smoking status is a confounding variable based on this plot. -Is whether the mother smoked during pregnancy a confounding variable in describing the relationship between gestation period and birth weight?


A) No, because smoking status is not associated with gestation period.
B) No, because smoking status is not associated with birth weight.
C) Yes, because mothers who smoke tend to have lighter babies, and mothers who smoke also tend to have shorter gestation periods.
D) Yes, because mothers who smoke tend to have heavier babies, and mothers who smoke also tend to have longer gestation periods.
E) We cannot determine whether smoking status is a confounding variable based on this plot.

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