Question

Consider the following multiple regression model, with n = 35: y = 15 + 12x1 + 23x2; R^2 = 0.79; sβ1 = 3.8; sβ2 = 5.7 Calculate the t-test statistic to test whether x2 contributes information to the prediction of y. Group of answer choices: 3.997 The F ratio used to test for the existence of a linear relationship between the dependent variable and any independent variable is: Group of answer choices: MSR/MST MSE/MSR MSR/MSE None of the choices MSE/(n-(k + 1)) In multiple regression testing of H0: β1 = β2 = β3 = ... = βk = 0 at α = 0.05, a p-value of 0.08 would give an indication that: Group of answer choices: None of the choices The null hypothesis should not be rejected The null hypothesis should be rejected All three independent variables have a slope of zero There is a linear relationship between y and any of the three independent variables 4.035 None of the choices 5.108 3.150

          Consider the following multiple regression model, with n = 35:

y = 15 + 12x1 + 23x2; R^2 = 0.79;
sβ1 = 3.8; sβ2 = 5.7

Calculate the t-test statistic to test whether x2 contributes information to the prediction of y.

Group of answer choices:
3.997

The F ratio used to test for the existence of a linear relationship between the dependent variable and any independent variable is:

Group of answer choices:
MSR/MST
MSE/MSR
MSR/MSE
None of the choices
MSE/(n-(k + 1))

In multiple regression testing of H0: β1 = β2 = β3 = ... = βk = 0 at α = 0.05, a p-value of 0.08 would give an indication that:

Group of answer choices:
None of the choices
The null hypothesis should not be rejected
The null hypothesis should be rejected
All three independent variables have a slope of zero
There is a linear relationship between y and any of the three independent variables
4.035
None of the choices
5.108
3.150

Added by Tonya A.

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