OMGT 3223 QUESTIONS AND ANSWERS
2026 NEWEST UPDATED 100% CORRECT
In the sample Excel output below, companies are classified as one of four types: Computers, Energy, Banking, or
Other. Companies of the first three types will have a value of 1 for the appropriate categorical variable and a value
of 0 for the other categorical variables. "Other" companies will have a value of 0 for all three categorical variables.
Ceteris paribus, expected corporate returns for COMPUTER companies are ... - higher than all non-computer
companies
The adjusted-R2 of a regression model is the R2 of the model adjusted for ... - the number of variables included in
the model
Suppose that the estimated y-intercept of the linear relationship is 20, and the average of X is 15, then the
estimated slope of the linear relationship is ... - impossible to determine from the given information
For a multiple linear regression model, Y = 5 + 10 X1 + X2, if X1=X2 and the estimated value is 100, then ... - X1 is
greater than 4
Using the example Excel output below, the most statistically significant coefficient is ... - for the intercept
, Suppose that the estimated y-intercept of the linear relationship, Y = a + bX, is 20, the average of Y is 50, and the
average of X is 15, then the estimated slope of the linear relationship is ... - 2
Using the sample Excel output below, the coefficient of variation is ... - between 25% and 50%
If the number of orders received (Y) is estimated as a linear function of the weight of mail received (X) with the
linear model, Y = 191 + 29.7 * X, then the expected number of orders when the mail weighs 10 pounds is ... - less
than 1000
If the adjusted-R2 for a four-variable model is greater than the R2 for an included three-variable model then this
suggests ... - that the model expansion is justified
Suppose that the estimated slope of the linear relationship, Y = a + bX, is 2, the average of X is 15, and the average
of Y is 50, then the estimated y-intercept of the linear relationship is ... - 20
For a multiple linear regression model, Y = 5 + 10 X1 + 15 X2, the estimated value at X1=5 is ... - impossible to
determine from the given info
2026 NEWEST UPDATED 100% CORRECT
In the sample Excel output below, companies are classified as one of four types: Computers, Energy, Banking, or
Other. Companies of the first three types will have a value of 1 for the appropriate categorical variable and a value
of 0 for the other categorical variables. "Other" companies will have a value of 0 for all three categorical variables.
Ceteris paribus, expected corporate returns for COMPUTER companies are ... - higher than all non-computer
companies
The adjusted-R2 of a regression model is the R2 of the model adjusted for ... - the number of variables included in
the model
Suppose that the estimated y-intercept of the linear relationship is 20, and the average of X is 15, then the
estimated slope of the linear relationship is ... - impossible to determine from the given information
For a multiple linear regression model, Y = 5 + 10 X1 + X2, if X1=X2 and the estimated value is 100, then ... - X1 is
greater than 4
Using the example Excel output below, the most statistically significant coefficient is ... - for the intercept
, Suppose that the estimated y-intercept of the linear relationship, Y = a + bX, is 20, the average of Y is 50, and the
average of X is 15, then the estimated slope of the linear relationship is ... - 2
Using the sample Excel output below, the coefficient of variation is ... - between 25% and 50%
If the number of orders received (Y) is estimated as a linear function of the weight of mail received (X) with the
linear model, Y = 191 + 29.7 * X, then the expected number of orders when the mail weighs 10 pounds is ... - less
than 1000
If the adjusted-R2 for a four-variable model is greater than the R2 for an included three-variable model then this
suggests ... - that the model expansion is justified
Suppose that the estimated slope of the linear relationship, Y = a + bX, is 2, the average of X is 15, and the average
of Y is 50, then the estimated y-intercept of the linear relationship is ... - 20
For a multiple linear regression model, Y = 5 + 10 X1 + 15 X2, the estimated value at X1=5 is ... - impossible to
determine from the given info
