In a simple regression analysis (where y is a dependent and x an independent variable), if the slope is positive, then it must be true that there is a positive correlation between x and y there is a negative correlation between x and y if x is increased, y must decrease None of the answers is correct.

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In a simple regression analysis (where y is a dependent and x an independent variable), if the slope is positive, then it
must be true that
there is a positive correlation between x and y
there is a negative correlation between x and y
if x is increased, y must decrease
None of the answers is correct.
Transcribed Image Text:In a simple regression analysis (where y is a dependent and x an independent variable), if the slope is positive, then it must be true that there is a positive correlation between x and y there is a negative correlation between x and y if x is increased, y must decrease None of the answers is correct.
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Here we have to find which one of the given four options is correct.

In a simple regression analysis (where y is a dependent and x an independent variable), the formula for the slope is b=r×sysx, where r is the correlation coefficient between x and y, sx and sy are the sample standard deviations of x and y, respectively.

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