1. The Y-intercept (b0) represents the a) predicted value of Y when X = 0. b) change in estimated Y per unit change in X. c) predicted value of Y. d) variation around the sample regression line.
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1. The Y-intercept (b0) represents the
a) predicted value of Y when X = 0.
b) change in estimated Y per unit change in X.
c) predicted value of Y.
d) variation around the sample regression line.
2. The Y-intercept (b0) represents the
a) estimated average Y when X = 0.
b) change in estimated average Y per unit change in X.
c) predicted value of Y.
d) variation around the sample regression line.
3. The least squares method minimizes which of the following?
a) SSR
b) SSE
c) SST
d) All of the above.
4. The standard error of the estimate is a measure of
a) total variation of the Y variable.
b) the variation around the sample regression line.
c) explained variation.
d) the variation of the X variable.
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