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# Let us suppose we are predicting the score on a training post-test from the number of years of education and the score on an aptitude test given before training. Here is the regression equation: Y = 25 + .5X1 +10X2, where X1 = years of education and X2 = aptitude test score. What does the .5 in front of X1 tell us?

Let us suppose we are predicting the score on a training post-test from the number of years of education and the score on an aptitude test given before training. Here is the regression equation:
Y = 25 + .5X1 +10X2,
where X1 = years of education and X2 = aptitude test score.
What does the .5 in front of X1 tell us?

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where the equation crosses the y-axis

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how much change in the post-test score you get per unit change in years of education

how much change in the years of education you get per unit change in post-test score