All Correct Answers.
T - Answer We test the significance of a correlation coefficient in order to determine if the
relationship implied by the sample correlation coefficient is real or due to chance.
T - Answer An R-squared of zero is the worst possible model.
F - Answer Hypothesis testing always tests whether a regression coefficient is different from
T - Answer An adjusted R-squared can be used to determine if we should have added a new
variable to our model.
F - Answer The following is a positive/right, one-tailed hypothesis test: Ho: p ≥ 0.8 and Ha: p <
0.8
T - Answer Explanatory variables, independent variables, and x-variables are all the same kind
of
variables, referring to the variables on the right side of a regression equation.
T - Answer A partial F-test is used to test whether or not we should include a variable in our
regression.
F - Answer A prediction interval is the same as a confidence interval.
F - Answer Multicollinearity exists when one x-variable is a perfect function of another. For this
reason, it rarely occurs in the real world.
F - Answer Heteroskedasticity occurs when the error term is correlated with an explanatory
variable.
T - Answer We can remedy heteroscedasticity using corrected standard errors, aka White's