If a multiple regression model's model-as-a-whole is significant, then we know:Question 6Answera.all predictors in the model are significantb.at least one of the predictors is significantc.we cannot be sure about if one or more predictors are significant or notd.at least two predictors are significantly associated with each other

Suppose that in a multiple regression the F test statistic is significant, but none of the t test statistics are significant. This means that ________. a. multicollinearity may be present b. autocorrelation may be present c. collinearity may be present d. (a) and (c).

A sample of 12 observations collected in a multiple regression study on two independent variables (X1 and X2) shows the following partial results. SST = 12321 and SSE = 3516. If SSR(X1) = 4496 and SSR(X2) = 5378, what conclusion should be reached (at the 1% level of significance) when testing the null hypothesis that variable X2 does not significantly improve the model after variable X1 has been included? a. There is sufficient evidence at the 1% level of significance to conclude that variable X2 significantly improves the model after variable X1 has been included. b. There is insufficient evidence at the 5% level of significance to conclude that variable X1 significantly improves the model after variable X2 has been included. c. There is insufficient evidence at the 1% level of significance to conclude that variable X2 significantly improves the model after variable X1 has been included. d. There is sufficient evidence at the 1% level of significance to conclude that variable X1 significantly improves the model after variable X2 has been included.

A researcher collected a sample of 12 observations in a multiple regression study focusing on two independent variables (X1 and X2). The following partial results were observed: SST = 15200 SSE = 4800 SSR(X1) = 5700 SSR(X2) = 6700At the 1% level of significance, what decision should be made when testing the null hypothesis that variable X1 does not significantly improve the model after variable X2 has been accounted for?（R for reject the null hypothesis, N for not reject it)

The contribution of an independent variable to a multiple regression model is measured by (a) SSR( Xj | all variables including j) (b) SSR( Xj | all variables excluding j) (c) SSR(all variables including j) – SSR(all variables except j) (d) Both (b) and (c)

State how many significant figures are proper in the results of the following calculations: (a) (106.7)(98.2)/(46.210)(1.01)106.798.2/46.2101.01 (b) (18.7)218.72 (c) (1.60×10−19)(3712)1.60×10−193712 .