Question 1

Which of the following is not another name for a predictor variable?

Accepted Answer

A)  control variable 
B)  independent variable 
C)  regressors 
D)  sample variable 
A)  control variable 
B)  independent variable 
C)  regressors 
D)  sample variable

Question 2

If there is a 30,000 average Service Cost in marketing services, with a 70% Cost Increase and 60% of client Payment for services upfront in addition to advantages of City, the predicted annual earnings for the firm are:

Accepted Answer

A)  $44,007.59 
B)  $35,518.89 
C)  $34,351.16 
D)  $46,534.38 
A)  $44,007.59 
B)  $35,518.89 
C)  $34,351.16 
D)  $46,534.38

Question 3

If the Ordinary Lease Squares (OLS) required assumptions of linear regression are met, OLS estimators of the regression coefficients $\beta$j are unbiased.

Accepted Answer

A) True 
 B)False

Question 4

Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at $\alpha$ = 0.05.

Accepted Answer

A)  P(F1,18) $\ge$ 57.737, p-value is less than $\alpha$ = 0.05, we reject H0, but jointly significant in explaining earnings. 
B)  P(F1,19) $\ge$ 60.945, p-value is less than $\alpha$ = 0.05, we accept H0, but jointly significant in explain earnings. 
C)  P(F1,18) $\ge$ 57.737, p-value is less than $\alpha$ = 0.05, we accept H0, but jointly significant in explaining earnings. 
D)  P(F1,19) $\ge$ 60.945, p-value is less than $\alpha$ = 0.05, we reject H0, jointly do not explain earnings. 
A)  P(F1,18) $\ge$ 57.737, p-value is less than $\alpha$ = 0.05, we reject H0, but jointly significant in explaining earnings. 
B)  P(F1,19) $\ge$ 60.945, p-value is less than $\alpha$ = 0.05, we accept H0, but jointly significant in explain earnings. 
C)  P(F1,18) $\ge$ 57.737, p-value is less than $\alpha$ = 0.05, we accept H0, but jointly significant in explaining earnings. 
D)  P(F1,19) $\ge$ 60.945, p-value is less than $\alpha$ = 0.05, we reject H0, jointly do not explain earnings.

Question 5

Abe is calculating a stock investment risk. If the hypothesis is H0 : $\beta$ $\ge$ 1 HA : $\beta$ < 1, and the p-value 0.027, and $\alpha$ = 0.05 is the investment riskier than the market?

Accepted Answer

A)  $\beta$ is equal to one, so the investment is less risky than the market. 
B)  $\beta$ is more than one, so the investment is riskier than the market. 
C)  $\beta$ is less than one, so the investment is less risky than the market. 
D)  $\beta$ is less than one, so the investment is riskier than the market. 
A)  $\beta$ is equal to one, so the investment is less risky than the market. 
B)  $\beta$ is more than one, so the investment is riskier than the market. 
C)  $\beta$ is less than one, so the investment is less risky than the market. 
D)  $\beta$ is less than one, so the investment is riskier than the market.

Question 6

If the coefficient of the determination is 0.60, what is the percent of the R2?

Accepted Answer

A)  60% 
B)  40% 
C)  -0.60 
D)  -0.40 
A)  60% 
B)  40% 
C)  -0.60 
D)  -0.40

Question 7

The total sum of squares (SST) can be broken into two: explained variation and unexplained variation.

Accepted Answer

A) True 
 B)False

Question 8

Based on goodness-of-fit measures, what is the percentage of the sample variation unexplained by Model 2?

Accepted Answer

A)  38.90% 
B)  40.23% 
C)  41.87% 
D)  59.77% 
A)  38.90% 
B)  40.23% 
C)  41.87% 
D)  59.77%

Question 9

When using Excel for a one-tailed test, the returned p-value will need to be divided in half.

Accepted Answer

A) True 
 B)False

Question 10

In the following equation $\hat{y}$ = 30,000 + 4x with given sales (y in $500) and marketing (x in dollars), what does the equation imply?

Accepted Answer

A)  An increase of $1 in marketing is associated with an increase of $32,000 in sales. 
B)  An increase of $1 in marketing is associated with an increase of $2,000 in sales. 
C)  An increase of $4 in marketing is associated with an increase of $2,000 in sales. 
D)  An increase of $4 in marketing is associated with an increase of $32,000 in sales. 
A)  An increase of $1 in marketing is associated with an increase of $32,000 in sales. 
B)  An increase of $1 in marketing is associated with an increase of $2,000 in sales. 
C)  An increase of $4 in marketing is associated with an increase of $2,000 in sales. 
D)  An increase of $4 in marketing is associated with an increase of $32,000 in sales.

Question 11

If R2 = 0.42, then how much of the sample variation is y?

Accepted Answer

A)  3.5% 
B)  48.0% 
C)  62% 
D)  42% 
A)  3.5% 
B)  48.0% 
C)  62% 
D)  42%

Question 12

If SST = 6,000 and SSE = 600, then the coefficient of determination is

Accepted Answer

A)  0.77 
B)  0.43 
C)  0.90 
D)  0.57 
A)  0.77 
B)  0.43 
C)  0.90 
D)  0.57

Question 13

If residual plots exhibit strong nonlinear patterns, the inferences made by a linear regression model can be quite accurate.

Accepted Answer

A) True 
 B)False

Which of the following is not another name for a predictor variable?

If there is a 30,000 average Service Cost in marketing services, with a 70% Cost Increase and 60% of client Payment for services upfront in addition to advantages of City, the predicted annual earnings for the firm are:

If the Ordinary Lease Squares (OLS) required assumptions of linear regression are met, OLS estimators of the regression coefficients $\beta$ _j are unbiased.

Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at $\alpha$ = 0.05. $Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at \alpha = 0.05.$

Abe is calculating a stock investment risk. If the hypothesis is H₀: $\beta$ $\ge$ 1 H_A: $\beta$ < 1, and the p-value 0.027, and $\alpha$ = 0.05 is the investment riskier than the market?

If the coefficient of the determination is 0.60, what is the percent of the R²?

The total sum of squares (SST) can be broken into two: explained variation and unexplained variation.

Based on goodness-of-fit measures, what is the percentage of the sample variation unexplained by Model 2?

When using Excel for a one-tailed test, the returned p-value will need to be divided in half.

In the following equation $\hat{y}$ = 30,000 + 4x with given sales (y in $500) and marketing (x in dollars), what does the equation imply?

If R² = 0.42, then how much of the sample variation is y?

If SST = 6,000 and SSE = 600, then the coefficient of determination is

If residual plots exhibit strong nonlinear patterns, the inferences made by a linear regression model can be quite accurate.

Introduction to Business Analytics

Data Management and Wrangling

Data Visualization and Summary Measures

Probability and Probability Distributions

Statistical Inference

Advanced Regression Analysis

Introduction to Data Mining

Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes

Supervised Data Mining: Decision Trees

Unsupervised Data Mining

Forecasting With Time Series Data

Introduction to Prescriptive Analytics

Filters

Exam 6: Regression Analysis

Which of the following is not another name for a predictor variable?

If there is a 30,000 average Service Cost in marketing services, with a 70% Cost Increase and 60% of client Payment for services upfront in addition to advantages of City, the predicted annual earnings for the firm are:

If the Ordinary Lease Squares (OLS) required assumptions of linear regression are met, OLS estimators of the regression coefficients β\betaβ j are unbiased.

Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at α\alphaα = 0.05.

Abe is calculating a stock investment risk. If the hypothesis is H0 : β\betaβ ≥\ge≥ 1 HA : β\betaβ < 1, and the p-value 0.027, and α\alphaα = 0.05 is the investment riskier than the market?

If the coefficient of the determination is 0.60, what is the percent of the R2?

The total sum of squares (SST) can be broken into two: explained variation and unexplained variation.

Based on goodness-of-fit measures, what is the percentage of the sample variation unexplained by Model 2?

When using Excel for a one-tailed test, the returned p-value will need to be divided in half.

In the following equation y^\hat{y}y^​ = 30,000 + 4x with given sales (y in $500) and marketing (x in dollars), what does the equation imply?

If R2 = 0.42, then how much of the sample variation is y?

If SST = 6,000 and SSE = 600, then the coefficient of determination is

If residual plots exhibit strong nonlinear patterns, the inferences made by a linear regression model can be quite accurate.

Introduction to Business Analytics

Data Management and Wrangling

Data Visualization and Summary Measures

Probability and Probability Distributions

Statistical Inference

Advanced Regression Analysis

Introduction to Data Mining

Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes

Supervised Data Mining: Decision Trees

Unsupervised Data Mining

Forecasting With Time Series Data

Introduction to Prescriptive Analytics

Filters

If the Ordinary Lease Squares (OLS) required assumptions of linear regression are met, OLS estimators of the regression coefficients $\beta$ _j are unbiased.

Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at $\alpha$ = 0.05. $Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at \alpha = 0.05.$

Abe is calculating a stock investment risk. If the hypothesis is H₀: $\beta$ $\ge$ 1 H_A: $\beta$ < 1, and the p-value 0.027, and $\alpha$ = 0.05 is the investment riskier than the market?

If the coefficient of the determination is 0.60, what is the percent of the R²?

In the following equation $\hat{y}$ = 30,000 + 4x with given sales (y in $500) and marketing (x in dollars), what does the equation imply?

If R² = 0.42, then how much of the sample variation is y?