1|Page
MSIS 3223 EXAM 2 QUESTIONS
WITH SOLUTIONS
Excels trend line feature cannot be used in modeling trends which include time
variables T/F - correct-answer - false
The standard error may be assumed to be large if the data are clustered close to
the regression line. T/F - correct-answer - False
A good regression model has the fewest number of explanatory variables
providing an adequate interpretation of the dependent variable T/F - correct-
answer - True
,2|Page
Regression analysis is a tool for building mathematical and statistical models that
characterize relationships between a dependent variable and one or more
independent, or explanatory, variables. T/F - correct-answer - True
Simple Linear regression involves finding a linear relationship between one
independent variable, X, and one dependent variable, Y. T/F - correct-answer -
True
An increase in adjusted R2 indicates that the regression model has improved T/F -
correct-answer - True
Multiple R is another name for the sample correlation coefficient - correct-answer
- True
, 3|Page
An interaction occurs when the effect of one variable is dependent on another
variable T/F - correct-answer - True
In regression analysis, dependent variable can be of any type (ratio, categorical,
ordinal and interval) T/F - correct-answer - False
Which one is true?
a) R-squared is a measure of the "fit" of the line to the data
b) The value of R-squared will be between 0 and 1.
c) the larger the value of R Squared the better the fit
D) All statements are true - correct-answer - D) all statements are true
One judgmental approach for forecasting is historical analogy, in which a forecast
is obtained through a comparative analysis with a previous situation T/F - correct-
answer - True
MSIS 3223 EXAM 2 QUESTIONS
WITH SOLUTIONS
Excels trend line feature cannot be used in modeling trends which include time
variables T/F - correct-answer - false
The standard error may be assumed to be large if the data are clustered close to
the regression line. T/F - correct-answer - False
A good regression model has the fewest number of explanatory variables
providing an adequate interpretation of the dependent variable T/F - correct-
answer - True
,2|Page
Regression analysis is a tool for building mathematical and statistical models that
characterize relationships between a dependent variable and one or more
independent, or explanatory, variables. T/F - correct-answer - True
Simple Linear regression involves finding a linear relationship between one
independent variable, X, and one dependent variable, Y. T/F - correct-answer -
True
An increase in adjusted R2 indicates that the regression model has improved T/F -
correct-answer - True
Multiple R is another name for the sample correlation coefficient - correct-answer
- True
, 3|Page
An interaction occurs when the effect of one variable is dependent on another
variable T/F - correct-answer - True
In regression analysis, dependent variable can be of any type (ratio, categorical,
ordinal and interval) T/F - correct-answer - False
Which one is true?
a) R-squared is a measure of the "fit" of the line to the data
b) The value of R-squared will be between 0 and 1.
c) the larger the value of R Squared the better the fit
D) All statements are true - correct-answer - D) all statements are true
One judgmental approach for forecasting is historical analogy, in which a forecast
is obtained through a comparative analysis with a previous situation T/F - correct-
answer - True