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QUESTION 2 If a categorical variable is to be included in a multiple regression,

ID: 3173550 • Letter: Q

Question

QUESTION 2

If a categorical variable is to be included in a multiple regression, a dummy variable for each category of the variable should be used, but the original categorical variables should not be sued.

True

False

1 points   

QUESTION 3

The adjusted R2 adjusts R2 for:

low correlation

outliers

non-linearity

the number of explanatory variables in a multiple regression model

1 points   

QUESTION 4

The coefficients for logarithmically transformed explanatory variables should be interpreted as the percent change in the dependent variable for a 1% percent change in the explanatory variable.

True

False

1 points   

QUESTION 5

The residual is defined as the difference between the actual and predicted, or fitted values of the response variable.

True

False

1 points   

QUESTION 6

Regression analysis asks:

if there are differences between distinct populations

how several variables depend on each other

if the sample is representative of the population

how a single variable depends on other relevant variables

1 points   

QUESTION 7

Which of the following interpretations of the regression coefficients is correct?

If the listed price increases by $1, sales decrease by 0.8255 houses.

If the interest rate increases by 1%, sales decrease by 0.001225, given that prices remain constant.

If the interest rate increases by 1% while holding price constant, sales decrease by 12.25%.

If price increases by $1, sales decrease by 0.8255%, assuming that interest rates remain constant.

1 points   

QUESTION 8

True

False

1 points   

QUESTION 9

Ch 10 #13 Data file.xlsx

Estimate a simple linear regression model involving shipping cost and package weight. Interpret the slope coefficient of the least squares line.

As the package weight increases by one pound, the shipping cost increases by $1.49 on average.

As the package weight increases by 1.49 lbs, the shipping cost increases by $1 on average.

As the package weight increases by one pound, the shipping cost increases by $0.08.

We cannot determine this effect with this regression as the results are insignificant.

1 points   

QUESTION 10

Add another explanatory variable - distance shipped – to the regression from the previous question. Estimate this expanded model. Based on your results, which model would you choose?

The results in the expanded model are more significant than in the first model. Therefore we should choose the second model.

The first model has a higher coefficient for the package weight variable, therefore it should be chosen to fully account for this factor.

The R squared in the expanded model are higher than in the first model. Therefore it fits the data better and we should choose the expanded model.

Both R squared and adjusted R squared in the expanded model are higher than in the first model. Therefore it fits the data better and we should choose the expanded model.

a.

low correlation

b.

outliers

c.

non-linearity

d.

the number of explanatory variables in a multiple regression model

Explanation / Answer

QUESTION 2 : If a categorical variable is to be included in a multiple regression, a dummy variable for each category of the variable should be used, but the original categorical variables should not be sued.

Answer : False

QUESTION 3 : The adjusted R2 adjusts R2 for:

Answer : the number of explanatory variables in a multiple regression model

QUESTION 4 : The coefficients for logarithmically transformed explanatory variables should be interpreted as the percent change in the dependent variable for a 1% percent change in the explanatory variable.

Answer : True

QUESTION 5 : The residual is defined as the difference between the actual and predicted, or fitted values of the response variable.

Answer : True

QUESTION 6 : Regression analysis asks:

Answer : how a single variable depends on other relevant variables