IQBA EXAM 3 QUESTIONS AND ACCURATE ANSWERS
100% VERIFIED
When is the backward elimination selection procedure for independent variable
inclusion in a regression model complete?
When the p-value for the included variables is less than ALPHA-to-leave
We use two dummy variables, x1 and x2, to code a categorical variable "teaching
method" with three levels (A, B, C). The following describes the combination of values
used for each teaching method
A: x1 = 0; x2 = 0
B: x1 = 1; x2 = 0
C: x1 = 0; x2 = 1
A multiple regression was carried out using x1 and x2 to predict learning outcomes.
Which of the following can NOT be directly concluded from the output?
Whether B and C are significantly different.
When applying the forward selection procedure for the variable selection inclusion in
the regression model, the analyst must evaluate the ___ for each variable.
ALPHA-to-enter
What type of statistical analysis can possibly be used if we have a four-level categorical
variable as the independent variable?
Both ANOVA and regression
When we evaluate the best subset model selection result, which of the following
statements is incorrect?
The larger the MSE, the better the model fit
, We use three dummy variables, x1, x2, and x3, to code a categorical variable "region"
with four levels (East, West, South, North). The following describes the combination of
values used for each region.
East: x1 = 0; x2 = 0; x3 = 0
West: x1 = 1; x2 = 0; x3 = 0
South: x1 = 0; x2 = 1; x3 = 0
North: x1 = 0; x2 = 0; x3 = 1
A multiple regression was carried out using x1, x2, and x3 to predict sales volume.
Which of the following can NOT be directly concluded from the output?
Whether West and South are significantly different.
In order to use the output from a multiple regression analysis to perform the ANOVA test
on the difference among the means of four populations, how many dummy variables are
needed to indicate treatments?
3
When comparing models, what test statistics shall we use to decide whether or not to
reject the smaller reduced model in favor of the larger full model?
F
When estimating a regression equation, the analyst should include in the equation
independent variables that increase the adjusted R Square.
When examining the correlation matrix of a dataset, which of the following scenarios
suggests the possibility of multicollinearity?
When the absolute value of the correlation coefficient between two independent
100% VERIFIED
When is the backward elimination selection procedure for independent variable
inclusion in a regression model complete?
When the p-value for the included variables is less than ALPHA-to-leave
We use two dummy variables, x1 and x2, to code a categorical variable "teaching
method" with three levels (A, B, C). The following describes the combination of values
used for each teaching method
A: x1 = 0; x2 = 0
B: x1 = 1; x2 = 0
C: x1 = 0; x2 = 1
A multiple regression was carried out using x1 and x2 to predict learning outcomes.
Which of the following can NOT be directly concluded from the output?
Whether B and C are significantly different.
When applying the forward selection procedure for the variable selection inclusion in
the regression model, the analyst must evaluate the ___ for each variable.
ALPHA-to-enter
What type of statistical analysis can possibly be used if we have a four-level categorical
variable as the independent variable?
Both ANOVA and regression
When we evaluate the best subset model selection result, which of the following
statements is incorrect?
The larger the MSE, the better the model fit
, We use three dummy variables, x1, x2, and x3, to code a categorical variable "region"
with four levels (East, West, South, North). The following describes the combination of
values used for each region.
East: x1 = 0; x2 = 0; x3 = 0
West: x1 = 1; x2 = 0; x3 = 0
South: x1 = 0; x2 = 1; x3 = 0
North: x1 = 0; x2 = 0; x3 = 1
A multiple regression was carried out using x1, x2, and x3 to predict sales volume.
Which of the following can NOT be directly concluded from the output?
Whether West and South are significantly different.
In order to use the output from a multiple regression analysis to perform the ANOVA test
on the difference among the means of four populations, how many dummy variables are
needed to indicate treatments?
3
When comparing models, what test statistics shall we use to decide whether or not to
reject the smaller reduced model in favor of the larger full model?
F
When estimating a regression equation, the analyst should include in the equation
independent variables that increase the adjusted R Square.
When examining the correlation matrix of a dataset, which of the following scenarios
suggests the possibility of multicollinearity?
When the absolute value of the correlation coefficient between two independent
