Hw 3 Concepts
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What is correct regarding linear regression
- SSR measures variation that is explained by the relationship between X and Y. -SSE measures variation due to factors other than the linear relationship between X and Y. -We assumes that the errors follow normal distribution. -The value of R square is between 0 and 1.
What is incorrect regarding linear regression
R square can be more than 1 and SSR measures unexplained variation.
The least squares method minimizes which of the following?
SSE
In the linear regression model, the equal variance assumption requires that the variance of the errors be constant for all values of X.
True
The intercept (b0) represents the
the estimated average change in Y per unit change in X.
