Which one of the following statement about linear multiple regression is correct? a. None of the suggested answers are c
Posted: Tue Apr 26, 2022 6:15 pm
Which one of the following statement about linear multiple
regression is correct?
a.
None of the suggested answers are correct.
b.
To test the significance of a multiple regression model
involving 4 independent variables and 25 observations, the
numerator and denominator degrees of freedom for the critical value
of F are 3 and 21, respectively.
c.
A multiple regression equation has a coefficient of
determination of 0.81. Then, the percentage of the variation
in y that is explained by the regression
equation is 90%.
d.
In testing the significance of a multiple regression model with
three independent variables, the null hypothesis is H0:
β1 = β2 = β3.
e.
In a multiple regression analysis involving 50 observations and
5 independent variables, the total variation
in y is 475 and SSE = 71.25. Then, the
coefficient of determination is 0.85.
regression is correct?
a.
None of the suggested answers are correct.
b.
To test the significance of a multiple regression model
involving 4 independent variables and 25 observations, the
numerator and denominator degrees of freedom for the critical value
of F are 3 and 21, respectively.
c.
A multiple regression equation has a coefficient of
determination of 0.81. Then, the percentage of the variation
in y that is explained by the regression
equation is 90%.
d.
In testing the significance of a multiple regression model with
three independent variables, the null hypothesis is H0:
β1 = β2 = β3.
e.
In a multiple regression analysis involving 50 observations and
5 independent variables, the total variation
in y is 475 and SSE = 71.25. Then, the
coefficient of determination is 0.85.