I. R^2 is the square of correlation coefficient II. Correlation coefficient equals to zero always mean that there is no relationship whatsoever between two variables X and Y III. If we want to test whether there exist a linear relationship between X and Y where Y depends on X, we can either use t-test or f-test. IV. While deriving the fitted regression equation, SSE values are maximized

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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 I. R^2 is the square of correlation coefficient
II. Correlation coefficient equals to zero always mean that there is no relationship whatsoever between two variables X and Y
III. If we want to test whether there exist a linear relationship between X and Y where Y depends on X, we can either use t-test or f-test.
IV. While deriving the fitted regression equation, SSE values are maximized

I. R is the square of correlation coefficient
II. Correlation coefficient equals to zero always mean that there is no relationship whatsoever between two
variables X and Y
III. If we want to test whether there exist a linear relationship between X and Y where Y depends on X, we can either
use t-test or f-test.
IV. While deriving the fitted regression equation, SSE values are maximized
Question: Which statements are true?
Transcribed Image Text:I. R is the square of correlation coefficient II. Correlation coefficient equals to zero always mean that there is no relationship whatsoever between two variables X and Y III. If we want to test whether there exist a linear relationship between X and Y where Y depends on X, we can either use t-test or f-test. IV. While deriving the fitted regression equation, SSE values are maximized Question: Which statements are true?
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