The least squares regression line minimizes the sum of the
A) differences between actual and predicted y values.
B) absolute deviations between actual and predicted y values.
C) absolute deviations between actual and predicted x values.
D) squared differences between actual and predicted y values.
Correct Answer:
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Q1: In a simple linear regression model, y
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