Exam 13: Simple Linear Regression

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SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   -Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval. The results of the simple linear regression are provided below. SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   -Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval. SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   -Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval. two-tail p value =0.034 (for testing SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   -Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval. -Referring to Scenario 13-1, a 95% confidence interval for SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   -Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval. is (15, 30).Interpret the interval.

(Multiple Choice)
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In a simple linear regression the best fitting linear model always passes through point In a simple linear regression the best fitting linear model always passes through point

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SCENARIO 13-6 The following Excel tables are obtained when "Score received on an exam (measured in percentage points)" (Y)is regressed on "percentage attendance" (X)for 22 students in a Statistics for Business and Economics course. SCENARIO 13-6 The following Excel tables are obtained when Score received on an exam (measured in percentage points) (Y)is regressed on percentage attendance (X)for 22 students in a Statistics for Business and Economics course.   -The Regression Sum of Squares (SSR)can never be greater than the Total Sum of Squares (SST). -The Regression Sum of Squares (SSR)can never be greater than the Total Sum of Squares (SST).

(True/False)
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   -Referring to Scenario 13-4, the regression sum of squares (SSR)is __________. -Referring to Scenario 13-4, the regression sum of squares (SSR)is __________.

(Short Answer)
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If the Durbin-Watson statistic has a value close to 4, which assumption is violated?

(Multiple Choice)
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SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   -Referring to Scenario 13-3, set up a scatter plot. -Referring to Scenario 13-3, set up a scatter plot.

(Short Answer)
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The strength of the linear relationship between two numerical variables may be measured by the

(Multiple Choice)
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SCENARIO 13-10 The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars)for individual stores based on the number of customers who made purchases.A random sample of 12 stores yields the following results: SCENARIO 13-10 The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars)for individual stores based on the number of customers who made purchases.A random sample of 12 stores yields the following results:   -Referring to Scenario 13-10, the residual plot indicates possible violation of which assumptions? -Referring to Scenario 13-10, the residual plot indicates possible violation of which assumptions?

(Multiple Choice)
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   -Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the decision that should be made implies that the number of new clients brought in _____ (had or did not have)a positive impact on the amount of sales generated. -Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the decision that should be made implies that the number of new clients brought in _____ (had or did not have)a positive impact on the amount of sales generated.

(Short Answer)
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SCENARIO 13-13 In this era of tough economic conditions, voters increasingly ask the question: "Is the educational achievement level of students dependent on the amount of money the state in which they reside spends on education?" The partial computer output below is the result of using spending per student ($)as the independent variable and composite score which is the sum of the math, science and reading scores as the dependent variable on 35 states that participated in a study. The table includes only partial results. SCENARIO 13-13 In this era of tough economic conditions, voters increasingly ask the question: Is the educational achievement level of students dependent on the amount of money the state in which they reside spends on education? The partial computer output below is the result of using spending per student ($)as the independent variable and composite score which is the sum of the math, science and reading scores as the dependent variable on 35 states that participated in a study. The table includes only partial results.   -Referring to Scenario 13-13, the error sum of squares (SSE)of the above regression is _____. -Referring to Scenario 13-13, the error sum of squares (SSE)of the above regression is _____.

(Short Answer)
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SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   -Referring to Scenario 13-3, the coefficient of determination is __________. -Referring to Scenario 13-3, the coefficient of determination is __________.

(Short Answer)
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   -Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05. -Referring to Scenario 13-2, to test that the regression coefficient, SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   -Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05. is not equal to 0, what would be the critical values? Use SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   -Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05. = 0.05.

(Multiple Choice)
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SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   -Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The t critical value she would use is ________. -Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The t critical value she would use is ________.

(Short Answer)
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SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed: SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:       -Referring to Scenario 13-11, there appears to be autocorrelation in the residuals. SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:       -Referring to Scenario 13-11, there appears to be autocorrelation in the residuals. SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:       -Referring to Scenario 13-11, there appears to be autocorrelation in the residuals. -Referring to Scenario 13-11, there appears to be autocorrelation in the residuals.

(True/False)
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   -Referring to Scenario 13-2, what is the percentage of the total variation in candy bar sales explained by the regression model? -Referring to Scenario 13-2, what is the percentage of the total variation in candy bar sales explained by the regression model?

(Multiple Choice)
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The least squares method minimizes which of the following?

(Multiple Choice)
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The standard error of the estimate is a measure of

(Multiple Choice)
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SCENARIO 13-10 The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars)for individual stores based on the number of customers who made purchases.A random sample of 12 stores yields the following results: SCENARIO 13-10 The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars)for individual stores based on the number of customers who made purchases.A random sample of 12 stores yields the following results:   -Referring to Scenario 13-10, what is the value of the standard error of the estimate? -Referring to Scenario 13-10, what is the value of the standard error of the estimate?

(Short Answer)
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SCENARIO 13-10 The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars)for individual stores based on the number of customers who made purchases.A random sample of 12 stores yields the following results: SCENARIO 13-10 The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars)for individual stores based on the number of customers who made purchases.A random sample of 12 stores yields the following results:   -Referring to Scenario 13-10, generate the residual plot. -Referring to Scenario 13-10, generate the residual plot.

(Short Answer)
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SCENARIO 13-12 The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours)it takes to record a loan application.Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded.Below is the regression output: SCENARIO 13-12 The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours)it takes to record a loan application.Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded.Below is the regression output:       -Referring to Scenario 13-12, the p-value of the measured F-test statistic to test whether the number of loan applications recorded affects the amount of time is _____. SCENARIO 13-12 The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours)it takes to record a loan application.Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded.Below is the regression output:       -Referring to Scenario 13-12, the p-value of the measured F-test statistic to test whether the number of loan applications recorded affects the amount of time is _____. SCENARIO 13-12 The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours)it takes to record a loan application.Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded.Below is the regression output:       -Referring to Scenario 13-12, the p-value of the measured F-test statistic to test whether the number of loan applications recorded affects the amount of time is _____. -Referring to Scenario 13-12, the p-value of the measured F-test statistic to test whether the number of loan applications recorded affects the amount of time is _____.

(Short Answer)
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