Question 1

When working with big data, a sample size is significantly large if the variability virtually disappears.

Accepted Answer

A) True 
 B)False

Question 2

In the goodness-of-fit measures, interpret the coefficient of determination for Earnings with Model 3 and what the sample variation of earnings explains.

Accepted Answer

A)  41.87% of the sample variation in Earnings is explained by the regression model. 
B)  0.8475 of the sample variation in Earnings determines the model selection. 
C)  0.010 of the sample variation in Earnings determines the model selection. 
D)  42.88% of the sample variation in Earnings is explained by the regression model. 
A)  41.87% of the sample variation in Earnings is explained by the regression model. 
B)  0.8475 of the sample variation in Earnings determines the model selection. 
C)  0.010 of the sample variation in Earnings determines the model selection. 
D)  42.88% of the sample variation in Earnings is explained by the regression model.

Question 3

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

Accepted Answer

A)  81.74% 
B)  2.56% 
C)  83.61% 
D)  18.26% 
A)  81.74% 
B)  2.56% 
C)  83.61% 
D)  18.26%

Question 4

In a study where the least squares estimates were based on 34 sets of sample observations, the total sum of squares and regression sum of squares were found to be: SST = 4.32 and SSR = 4.00. What is the error sum of squares?

Accepted Answer

A)  1.07 
B)  0.32 
C)  0.929 
D)  8.74 
A)  1.07 
B)  0.32 
C)  0.929 
D)  8.74

Question 5

If SSE = 180 and SSR = 320, then the coefficient of determination is

Accepted Answer

A)  0.20 
B)  0.64 
C)  0.60 
D)  0.67 
A)  0.20 
B)  0.64 
C)  0.60 
D)  0.67

Question 6

R2 in linear regression is the correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 7

In Excel, to construct a residual plot, input of a y range and an x range is needed. Aimee is examining the relationship between age and square foot range (sqft) of living space. In the scenario provided, what would be the y and what would be the x range data?

Accepted Answer

A)  In selecting a regression, residual plot is the first selection before range input. 
B)  Input y range would be age and Input x range would be sqft. 
C)  Input y range would be blank to produce a concise x range. 
D)  Input y range would be sqft and Input x range would be age. 
A)  In selecting a regression, residual plot is the first selection before range input. 
B)  Input y range would be age and Input x range would be sqft. 
C)  Input y range would be blank to produce a concise x range. 
D)  Input y range would be sqft and Input x range would be age.

Question 8

This represents which relationship?

Accepted Answer

A)  Positive linear 
B)  Negative linear 
C)  No linear 
D)  Multiple linear 
A)  Positive linear 
B)  Negative linear 
C)  No linear 
D)  Multiple linear

Question 9

The simple linear regression model y = $\beta$0 + $\beta$1x + $\varepsilon$ implies that if x ________, we expect y to change by $\beta$1, irrespective of the value of x.

Accepted Answer

A)  is a straight line 
B)  goes down by one unit 
C)  goes up by one unit 
D)  curves by one unit 
A)  is a straight line 
B)  goes down by one unit 
C)  goes up by one unit 
D)  curves by one unit

Question 10

Camber Seal is a financial planner hired to review KMB stock. She is considering the CAPM where the KMB risk-adjusted stock return R - Rf is used as the response variable and the risk-adjusted market return Rm - R f is used as the predictor variable. KMB stock is considered staple products, whether the economy is good or bad. Given estimates for the beta coefficient is 0.7503, standard error of 0.1391, and a p-value of 0.039 with a formulated hypothesis of H 0 : $\beta$ $\ge$ 1 H A : $\beta$ < 1. At a 5% significance level, what is the risk determination of the stock against the market?

Accepted Answer

A)  $\beta$ is significantly less than one, thus, H 0 : is rejected and less risky than the market. 
B)  $\beta$ is significantly higher than one, thus, H 0 : is accepted and less risky than the market. 
C)  $\beta$ is significantly less than one, thus, H0 : is accepted and riskier than the market. 
D)  $\beta$ is significantly higher than one, thus, H0 : is rejected and riskier than the market. 
A)  $\beta$ is significantly less than one, thus, H 0 : is rejected and less risky than the market. 
B)  $\beta$ is significantly higher than one, thus, H 0 : is accepted and less risky than the market. 
C)  $\beta$ is significantly less than one, thus, H0 : is accepted and riskier than the market. 
D)  $\beta$ is significantly higher than one, thus, H0 : is rejected and riskier than the market.

Question 11

If SST = 2,500 and SSE = 575, then the coefficient of determination is

Accepted Answer

A)  0.43 
B)  0.23 
C)  0.77 
D)  0.57 
A)  0.43 
B)  0.23 
C)  0.77 
D)  0.57

Question 12

If R2 = 0.62, then how much of the sample variation is y?

Accepted Answer

A)  31% 
B)  7.8% 
C)  38% 
D)  62% 
A)  31% 
B)  7.8% 
C)  38% 
D)  62%

Question 13

The Department of Natural Resources conducted a study examining the condition of fish in the Wolfe River (Wisconsin). In total 110 fish were captured. The variables that were measured are: mile marker of location in river, species (rainbow trout, northern pike, musky, walleye, and panfish ), length, and weight. Which item is not quantitative?

Accepted Answer

A)  amount of fish captured 
B)  length 
C)  species 
D)  mile marker 
A)  amount of fish captured 
B)  length 
C)  species 
D)  mile marker

Question 14

To conduct a test of joint significance, you want to employ which test?

Accepted Answer

A)  regressed mean F test 
B)  left-tailed F test 
C)  double-tailed F test 
D)  right-tailed F test 
A)  regressed mean F test 
B)  left-tailed F test 
C)  double-tailed F test 
D)  right-tailed F test

Question 15

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)  $44,665.71 
B)  $37,890.63 
C)  $36,722.90 
D)  $47,392.23 
A)  $44,665.71 
B)  $37,890.63 
C)  $36,722.90 
D)  $47,392.23

Question 16

In a simple linear regression based on 20 observations, it is found b1 = 3.20 and se(b1) = 1.15. Consider the hypothesis : H0 : $\beta$1 = 0 and HA : $\beta$1 $\neq$ 0 . Calculate the value of the test statistic.

Accepted Answer

A)  2.78 
B)  2.410 
C)  0.415 
D)  0.359 
A)  2.78 
B)  2.410 
C)  0.415 
D)  0.359

Question 17

In a linear regression model, the competing hypotheses take all but which form?

Accepted Answer

A) H0:$\beta$j = $\beta$j0 and HA:$\beta$j $\neq$ $\beta$j0 B) H0:$\beta$j $\le$ $\beta$j0 and HA:$\beta$j > $\beta$j0 C) H0:$\beta$j $\ge$ $\beta$j0 and HA:$\beta$j < $\beta$j0 D) H0:$\beta$j > $\beta$j0 and HA:$\beta$j$\neq$ $\beta$j0 A) H0:$\beta$j = $\beta$j0 and HA:$\beta$j $\neq$ $\beta$j0 B) H0:$\beta$j $\le$ $\beta$j0 and HA:$\beta$j > $\beta$j0 C) H0:$\beta$j $\ge$ $\beta$j0 and HA:$\beta$j < $\beta$j0 D) H0:$\beta$j > $\beta$j0 and HA:$\beta$j$\neq$ $\beta$j0

Question 18

If $\hat{y}$ = 110 - 5x with y = product and x = price of product, what happens to the demand if the price is increased by 3 units?

Accepted Answer

A)  increases by 15 units 
B)  increases by 125 units 
C)  decreases by 15 units 
D)  decreases by 95 units 
A)  increases by 15 units 
B)  increases by 125 units 
C)  decreases by 15 units 
D)  decreases by 95 units

Question 19

The slope coefficient$\beta$, is called

Accepted Answer

A)  regression. 
B)  beta. 
C)  alpha. 
D)  intercept. 
A)  regression. 
B)  beta. 
C)  alpha. 
D)  intercept.

Question 20

If the coefficient of the determination is 0.61, what is the percent of the R2?

Accepted Answer

A)  61% 
B)  39% 
C)  -0.61 
D)  -0.39 
A)  61% 
B)  39% 
C)  -0.61 
D)  -0.39

When working with big data, a sample size is significantly large if the variability virtually disappears.

In the goodness-of-fit measures, interpret the coefficient of determination for Earnings with Model 3 and what the sample variation of earnings explains.

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

In a study where the least squares estimates were based on 34 sets of sample observations, the total sum of squares and regression sum of squares were found to be: SST = 4.32 and SSR = 4.00. What is the error sum of squares?

If SSE = 180 and SSR = 320, then the coefficient of determination is

R²in linear regression is the correlation coefficient.

In Excel, to construct a residual plot, input of a y range and an x range is needed. Aimee is examining the relationship between age and square foot range (sqft) of living space. In the scenario provided, what would be the y and what would be the x range data?

This represents which relationship?

The simple linear regression model y = $\beta$ ₀ + $\beta$ ₁x + $\varepsilon$ implies that if x ________, we expect y to change by $\beta$ ₁, irrespective of the value of x.

If SST = 2,500 and SSE = 575, then the coefficient of determination is

If R² = 0.62, then how much of the sample variation is y?

To conduct a test of joint significance, you want to employ which test?

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:

In a simple linear regression based on 20 observations, it is found b₁= 3.20 and se(b₁) = 1.15. Consider the hypothesis : H₀ : $\beta$ ₁= 0and H_A: $\beta$ ₁ $\neq$ 0.Calculate the value of the test statistic.

In a linear regression model, the competing hypotheses take all but which form?

If $\hat{y}$ = 110 - 5x with y = product and x = price of product, what happens to the demand if the price is increased by 3 units?

The slope coefficient $\beta$ , is called

If the coefficient of the determination is 0.61, what is the percent of the R²?

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

When working with big data, a sample size is significantly large if the variability virtually disappears.

In the goodness-of-fit measures, interpret the coefficient of determination for Earnings with Model 3 and what the sample variation of earnings explains.

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

In a study where the least squares estimates were based on 34 sets of sample observations, the total sum of squares and regression sum of squares were found to be: SST = 4.32 and SSR = 4.00. What is the error sum of squares?

If SSE = 180 and SSR = 320, then the coefficient of determination is

R2 in linear regression is the correlation coefficient.

In Excel, to construct a residual plot, input of a y range and an x range is needed. Aimee is examining the relationship between age and square foot range (sqft) of living space. In the scenario provided, what would be the y and what would be the x range data?

This represents which relationship?

The simple linear regression model y = β\betaβ 0 + β\betaβ 1x + ε\varepsilonε implies that if x ________, we expect y to change by β\betaβ 1, irrespective of the value of x.

If SST = 2,500 and SSE = 575, then the coefficient of determination is

If R2 = 0.62, then how much of the sample variation is y?

To conduct a test of joint significance, you want to employ which test?

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:

In a simple linear regression based on 20 observations, it is found b1 = 3.20 and se(b1) = 1.15. Consider the hypothesis : H0 : β\betaβ 1 = 0 and HA : β\betaβ 1 ≠\neq= 0 . Calculate the value of the test statistic.

In a linear regression model, the competing hypotheses take all but which form?

If y^\hat{y}y^​ = 110 - 5x with y = product and x = price of product, what happens to the demand if the price is increased by 3 units?

The slope coefficient β\betaβ , is called

If the coefficient of the determination is 0.61, what is the percent of the R2?

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

R²in linear regression is the correlation coefficient.

The simple linear regression model y = $\beta$ ₀ + $\beta$ ₁x + $\varepsilon$ implies that if x ________, we expect y to change by $\beta$ ₁, irrespective of the value of x.

If R² = 0.62, then how much of the sample variation is y?

In a simple linear regression based on 20 observations, it is found b₁= 3.20 and se(b₁) = 1.15. Consider the hypothesis : H₀ : $\beta$ ₁= 0and H_A: $\beta$ ₁ $\neq$ 0.Calculate the value of the test statistic.

If $\hat{y}$ = 110 - 5x with y = product and x = price of product, what happens to the demand if the price is increased by 3 units?

The slope coefficient $\beta$ , is called

If the coefficient of the determination is 0.61, what is the percent of the R²?