The equation for the regression line is Ŷ = 2.5X + 12 where X represents assertiveness and Y represents predicted self-esteem. Which of the following interpretations is accurate? O For every 1-point increase in assertiveness, predicted self-esteem goes up by 2.5 points. O For every 2.5 assertiveness points, predicted self-esteem goes up by 1 point. O For every 1-point increase in assertiveness, predicted self-esteem goes up by 12 points. 12% of the variance in self-esteem is due to assertiveness.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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The equation for the regression line is Y = 2.5X + 12 where X represents assertiveness and
represents predicted self-esteem. Which of the following interpretations is accurate?
O For every 1-point increase in assertiveness, predicted self-esteem goes up by 2.5 points.
O For every 2.5 assertiveness points, predicted self-esteem goes up by 1 point.
For every 1-point increase in assertiveness, predicted self-esteem goes up by 12 points.
O 12% of the variance in self-esteem is due to assertiveness.
Transcribed Image Text:The equation for the regression line is Y = 2.5X + 12 where X represents assertiveness and represents predicted self-esteem. Which of the following interpretations is accurate? O For every 1-point increase in assertiveness, predicted self-esteem goes up by 2.5 points. O For every 2.5 assertiveness points, predicted self-esteem goes up by 1 point. For every 1-point increase in assertiveness, predicted self-esteem goes up by 12 points. O 12% of the variance in self-esteem is due to assertiveness.
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