1 - If the p-value of the F statistic indicates that the regression equation is significant overall, then Group of answe
Posted: Wed May 11, 2022 11:05 am
1 -
If the p-value of the F statistic indicates
that the regression equation is significant overall, then
Group of answer choices
all of the independent variables are significant
at least one of the independent variables is significant
the dependent variable must be significant
the majority of the independent variables is significant
2 -
If the coefficient of determination (r2) is 0.64, the
percentage of variation in the dependent
variable not explained by the estimated regression
equation is
Group of answer choices
6.0%
36%
0.36%
0.8%
3-
A binary variable can take on a value of
Group of answer choices
-1 or +1
0 or 1 or 2
1 or 2
0 or 1
4-
To determine the goodness-of-fit of a multiple regression model,
you should consider the
Group of answer choices
R2 value
adjusted R2 value
intercept's p-value
F statistic's p-value
5-
To determine the overall significance of a multiple regression
model, you should consider the
Group of answer choices
F statistic's p-value
R2 value
adjusted R2 value
intercept's p-value
If the p-value of the F statistic indicates
that the regression equation is significant overall, then
Group of answer choices
all of the independent variables are significant
at least one of the independent variables is significant
the dependent variable must be significant
the majority of the independent variables is significant
2 -
If the coefficient of determination (r2) is 0.64, the
percentage of variation in the dependent
variable not explained by the estimated regression
equation is
Group of answer choices
6.0%
36%
0.36%
0.8%
3-
A binary variable can take on a value of
Group of answer choices
-1 or +1
0 or 1 or 2
1 or 2
0 or 1
4-
To determine the goodness-of-fit of a multiple regression model,
you should consider the
Group of answer choices
R2 value
adjusted R2 value
intercept's p-value
F statistic's p-value
5-
To determine the overall significance of a multiple regression
model, you should consider the
Group of answer choices
F statistic's p-value
R2 value
adjusted R2 value
intercept's p-value