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Exam 2: Correlation and Regression Analysis

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Question 1

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Regression line is also called.................................

A) Estimating equation
B) Prediction equation
C) Line of average relationship
D) All the above

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Question 2

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Correlation analysis between one dependent variable with one independent variable by keeping the other independent variables as constant is called......................

A) Partial correlation
B) Multiple correlation
C) Nonsense correlation
D) Simple correlation

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Question 3

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Spearman's Rank Correlation Coefficient is usually denoted by....................

For perfect correlation, the coefficient of correlation should be ..........................

....................refers to analysis of average relationship between two variables to provide mechanism for prediction.

Probable error is used to:

If there are two variables, there can be at most ........................ number of regression lines.

Correlation analysis between two sets of data only is called....................

The rank correlation coefficient is always............................

If r = 0.8, coefficient of determination is.....................................

Coefficient of correlation explains .................... of the relationship between two variables.

In correlation analysis, Probable Error = ........................ x 0.6745

The point of intersection of two regression lines is..........................

If coefficient of correlation is more than ................of its P E, correlation is significant.

Coefficient of concurrent deviation depends on .......................

The term regression was first used by..........................

Study of correlation among three or more variables simultaneously is called.............