Author Question: Define, and describe the relationship between, SSXY, covariance, the linear correlation coefficient, ... (Read 48 times)

ghost!

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Define, and describe the relationship between, SSXY, covariance, the linear correlation coefficient, the coefficient of determination, and r2-adjusted.

Question 2

A hypothesis test of a proportion is conceptually similar to hypothesis testing when the mean is the characteristic of interest.
 
 Indicate whether the statement is true or false



HandsomeMarc

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Answer to Question 1

SSXY is a distance measure between the X and Y coordinates; SSXY = . To eliminate the effect of sample size, SSXY is divided by the degrees of freedom to calculate the covariance. To make the measure scale-independent, the covariance is divided by the standard deviation of the two variables to calculate the linear correlation coefficient (r). The coefficient of determination (r2), the square of the linear correlation coefficient, is the percentage of variation shared by two variables. r2-adjusted prevents the r2 value from increasing when statistically meaningless variables are added to the regression.

Answer to Question 2

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