QUESTION 1 1. Adding more regressors to a regression model is always desirable b

Question

QUESTION 1

1.         Adding more regressors to a regression model is always desirable because it may increase the R^2 .

True

False

QUESTION 2

1.         A prediction interval of a future response of y at an observation x is always wider than a confidence interval for the same observation of x.

True

False

QUESTION 3

1.         Adjusted    will not necessarily increase when adding more regressors to a regression model.

True

False

QUESTION 4

1.         In a multiple regression, if the t-tests for individual regression coefficients show none of the coefficients are significant, then no regressors are useful.

True

False

QUESTION 5

1.         A variance inflation factor greater than 10 for a regressor      implies that     is linearly related to the other regressors.

True

False

QUESTION 6

1.         Normal probability plot of the observed y’s is used to check the normality assumption of the errors.

True

False

QUESTION 7

1.         A lack-of-fit test requires that we have replicate observations on the response y for at least one level of x.

True

False

QUESTION 8

1.         Data transformation can be used when some of the model assumptions are violated.

True

False

QUESTION 9

1.         A predicted residual or prediction error is calculated for a row when the corresponding row is not used to estimate the coefficients of the model.

True

False

QUESTION 10

1.         A large implies that a point has high leverage.

True

False

Explanation / Answer

QUESTION 1 : True

QUESTION 2 : True

QUESTION 3 : False

QUESTION 4 : False

QUESTION 5 : True

QUESTION 6 : True

QUESTION 7 : False

QUESTION 8 : True

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