Easy
Multiple Linear Regression
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A researcher uses multiple linear regression to predict final exam score (Y) from hours studied (X1) and test anxiety (X2). Which statement correctly describes the meaning of the coefficient for hours studied (b1)?
A
b1 is the expected change in final exam score for a 1-unit increase in hours studied, holding test anxiety constant.
B
b1 is the correlation between hours studied and final exam score, ignoring test anxiety.
C
b1 is the expected change in hours studied for a 1-unit increase in final exam score.
D
b1 is the predicted final exam score when hours studied increases and test anxiety decreases.