Question: The business problem facing the director of

> If SSR = 36 and SSE = 4, determine SST and then compute the coefficient of determination, r2, and interpret its meaning.

> How do you interpret a coefficient of determination, r2, equal to 0.80?

> A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use YouTube trailer views as a predictor. For each of 66 movies, the YouTube trailer view count, the number of YouTube trailer views

> Brand valuations are critical to CEOs, financial and marketing executives, security analysts, institutional investors, and others who depend on well-researched, reliable information needed for assessments and comparisons in decision making. Millward Brow

> An agent for a residential real estate company in a suburb located outside of Washington, DC, has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward that goal, the agent would like to use the si

> The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The file BBValues represents the value in 2017 (in $millions) and the annual revenue (in $millions) for the 30 Major League Baseball franchises.

> Starbucks Coffee Co. uses a data-based approach to improving the quality and customer satisfaction of its products. When survey data indicated that Starbucks needed to improve its package-sealing process, an experiment was conducted to determine the fact

> Is an MBA a golden ticket? Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student wou

> Zagat’s publishes restaurant ratings for various locations in the United States. The file Restaurants contains the Zagat rating for food, décor, service, and the cost per person for a sample of 100 restaurants located in the center of New York City and i

> The production of wine is a multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine experts, data were collected from red wine variants of Portuguese “Vinho Verde” wine. Source: Data extracted from Cort

> Fitting a straight line to a set of data yields the following prediction line: a. Interpret the meaning of the Y intercept, b0. b. Interpret the meaning of the slope, b1. c. Predict the value of Y for X = 6. Î, = 16 – 0.5X;

> If the values of X in Problem 13.1 range from 2 to 25, should you use this model to predict the mean value of Y when X equals a. 3? b. -3? c. 0? d. 24?

> Fitting a straight line to a set of data yields the following prediction line: a. Interpret the meaning of the Y intercept, b0. b. Interpret the meaning of the slope, b1. c. Predict the value of Y for X = 3. Î; = 2 + 5X;

> QSR reports on the largest quick-serve and fast-casual brands in the United States. The file FastFoodChain contains the food segment (burger, chicken, sandwich or pizza/pasta) and U.S. mean sales per unit ($ thousands) for each of 37 quick-service brands

> Use the following contingency table: a. Compute the expected frequency for each cell. b. Compute χ2STAT. Is it significant at α = 0.05? A B C Total 1 10 30 50 90 2 40 45 50 135 Total 50 75 100 225

> Consider a contingency table with two rows and five columns. a. How many degrees of freedom are there in the contingency table? b. Determine the critical value for α = 0.05. c. Determine the critical value for α = 0.01.

> Does co-browsing have positive effects on the customer experience? Co-browsing refers to the ability to have a contact center agent and customer jointly navigate an application (e.g., web page, digital document, or mobile application) on a real time basi

> A glass manufacturing company wanted to investigate the effect of zone 1 lower temperature (630 vs. 650) and zone 3 upper temperature (695 vs. 715) on the roller imprint of glass. The results stored in Glass2 were as follows: Source: K. Kumar and S. Y

> What social media tools do marketers commonly use? A survey by Social Media Examiner of B2B marketers (marketers that focus primarily on attracting businesses) and B2C marketers (marketers that primarily target consumers) reported that 267 (81%) of B2B m

> The Society for Human Resource Management (SHRM) collaborated with Globoforce on a series of organizational surveys with the goal of identifying challenges that HR leaders face and what strategies help them conquer those challenges. A 2016 survey indicat

> Are you an impulse shopper? A survey of 500 grocery shoppers indicated that 29% of males and 40% of females make an impulse purchase every time they shop. Source: Data extracted from Women shoppers are impulsive while men snap up bargains, available at b

> Does Cable Video on Demand (VOD D4+) increase ad effectiveness? A 2015 VOD study compared general TV and VOD D4+ audiences after viewing a brand ad. Whether the viewer indicated that the ad made them want to visit the brand website was collected and orga

> An Ipsos poll asked 1,004 adults “If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade?” The results indicated that 9% of the males and 14% of the females answered window tinting. Source

> Use the following contingency table: a. Compute the expected frequency for each cell. b. Compute χ2STAT. Is it significant at α = 0.05? A B Total 1 20 30 50 2 30 20 50 Total 50 50 100

> Use the following contingency table: a. Compute the expected frequency for each cell. b. Compare the observed and expected frequencies for each cell. c. Compute χ2STAT. Is it significant at α = 0.05? A B Total 1 20 Total

> The following ANOVA summary table is for a multiple regression model with two independent variables: a. Determine the regression mean square (MSR) and the mean square error (MSE). b. Compute the overall FSTAT test statistic. c. Determine whether the

> Determine the critical value of χ2 with 1 degree of freedom in each of the following circumstances: a. α = 0.05 b. α = 0.025 c. α = 0.01

> Determine the critical value of χ2 with 1 degree of freedom in each of the following circumstances: a. α = 0.01 b. α = 0.005 c. α = 0.10

> A glass manufacturing company wanted to investigate the effect of breakoff pressure and stopper height on the percentage of breaking off chips. The results, stored in Glass1 , were as follows: Source: K. Kumar and S. Yadav, “Breakth

> In Problems 13.8, 13.20, 13.30, 13.46, 13.62, 13.82, and 13.83, you developed regression models to predict franchise value of major league baseball, NBA basketball, and soccer teams. Now, write a report based on the models you developed. Append to your r

> The file CEO 2016 includes the total compensation (in $ millions) for CEOs of 200 Standard & Poor’s 500 companies and the investment return in 2016. Source: Data extracted from R. Lightner and T. Francis, “How Much Do Top CEOs Make?” available at bit.ly/

> Refer to the discussion of beta values and market models in Problem 13.49 on page 513. The S&P 500 Index tracks the overall movement of the stock market by considering the stock prices of 500 large corporations. The file StockPrices2016 contains 2016 wee

> During the fall harvest season in the United States, pumpkins are sold in large quantities at farm stands. Often, instead of weighing the pumpkins prior to sale, the farm stand operator will just place the pumpkin in the appropriate circular cutout on th

> Referring to Problem 14.82, instead of predicting the unit density, you now wish to predict the foam diameter from results stored in PackagingFoam4 . Develop a multiple regression model that uses die temperature and die diameter to predict the foam diame

> An experiment was conducted to study the extrusion process of biodegradable packaging foam. Source: Data extracted from W. Y. Koh, K. M. Eskridge, and M. A. Hanna, “Supersaturated Split-Plot Designs,” Journal of Quality Technology, 45, January 2013, pp.

> Starbucks Coffee Co. uses a data-based approach to improving the quality and customer satisfaction of its products. When survey data indicated that Starbucks needed to improve its package sealing process, an experiment was conducted to determine the fact

> HR practitioners are increasing performing gender pay audits to understand whether a gender gap exists at their company. Practitioners examine payroll data for evidence of a gender pay gap. An HR practitioner collects data on base pay ($), gender (0 = fe

> Nassau County is located approximately 25 miles east of New York City. The data organized and stored in GlenCove include the fair market value (in $thousands), land area of the property in acres, and age, in years, for a sample of 30 single-family homes

> You are a real estate broker who wants to compare property values in Glen Cove and Roslyn (which are located approximately 8 miles apart). In order to do so, you will analyze the data in GCRoslyn , a file that includes samples of houses from Glen Cove an

> A plastic injection molding process is often used in manufacturing because of its ability to mold complicated shapes. An experiment was conducted on the manufacture of a television remote part, and the warpage (mm) of the part was measured and stored in

> Referring to Problem 14.77, suppose that in addition to using ERA to predict the number of wins, the analytics specialist wants to include the league (0 = American, 1 = National) as an independent variable. Develop a model to predict wins based on ERA an

> A baseball analytics specialist wants to determine which variables are important in predicting a team’s wins in a given season. He has collected data related to wins, earned run average (ERA), and runs scored per game for a recent season (stored in Baseb

> A sample of 61 houses recently listed for sale in Silver Spring, Maryland, was selected with the objective of developing a model to predict the taxes (in $) based on the asking price of houses (in $thousands) and the age of the houses (in years) (stored

> Measuring the height of a California redwood tree is very difficult because these trees grow to heights over 300 feet. People familiar with these trees understand that the height of a California redwood tree is related to other characteristics of the tre

> A sample of 61 houses recently listed for sale in Silver Spring, Maryland, was selected with the objective of developing a model to predict the asking price (in $thousands), using the living space of the house (in square feet) and age (in years). The res

> Professional basketball has truly become a sport that generates interest among fans around the world. More and more players come from outside the United States to play in the National Basketball Association (NBA). You want to develop a regression model t

> The owner of a moving company typically has his most experienced manager predict the total number of labor hours that will be required to complete an upcoming move. This approach has proved useful in the past, but the owner has the business objective of

> Increasing customer satisfaction typically results in increased purchase behavior. For many products, there is more than one measure of customer satisfaction. In many, purchase behavior can increase dramatically with an increase in just one of the custom

> What is the difference between least squares regression and logistic regression?

> In Problem 14.8 on page 542, you used the land area of a property and the age of a house to predict the fair market value (stored in GlenCove ). Using the results from that problem, a. determine whether there is a significant relationship between fair m

> When do you use logistic regression?

> When a dummy variable is included in a regression model that has one numerical independent variable, what assumption do you need to make concerning the slope between the dependent variable, Y, and the numerical independent variable, X?

> Under what circumstances do you include an interaction term in a regression model?

> How can you evaluate whether the slope of the dependent variable with an independent variable is the same for each level of the dummy variable?

> Why and how do you use dummy variables?

> How do the coefficients of partial determination differ from the coefficient of multiple determination?

> How does testing the significance of the entire multiple regression model differ from testing the contribution of each independent variable?

> How does the interpretation of the regression coefficients differ in multiple regression and simple linear regression?

> What is the difference between r2 and adjusted r2?

> A local supermarket manager wants to use two independent variables, customer age (in years) and whether the customer subscribes to the supermarket chain’s health/wellness e-newsletters (coded as 1 = yes and 0 = no) to predict which customers are likely t

> Referring to Problem 11.22, the effect of die temperature and die diameter on the foam diameter was also measured and the results stored in PackagaingFoam2. At the 0.05 level of significance, a. is there an interaction between die temperature and die dia

> Human resource managers face the business problem of assessing the impact of factors on full-time job growth. A human resource manager is interested in the impact of full-time voluntary turnover and total worldwide revenues on the number of full-time job

> A marketing manager wants to predict customers with the risk of churning (switching their service contracts to another company) based on the number of calls the customer makes to the company call center and the number of visits the customer makes to the

> An automotive insurance company wants to predict which filed stolen vehicle claims are fraudulent, based on the mean number of claims submitted per year by the policy holder and whether the policy is a new policy, that is, is one year old or less (coded

> Undergraduate students at Miami University in Oxford, Ohio, were surveyed in order to evaluate the effect of price on the purchase of a pizza from Pizza Hut. Students were first asked to imagine a situation in which they were planning to call and order f

> Referring to Problem 14.41 on page 567, you have decided to analyze whether there are differences in fixed acidity, chlorides, and pH between white wines and red wines (0 = white 1 = red). Using the data stored in RedandWhite , a. Develop a logistic regr

> A study was conducted to determine the factors involved in the rate of participation of discharged cardiac patients in a rehabilitation program. Data were collected from 516 treated patients. Source: Data extracted from F. Van Der Meulen, T. Vermaat, and

> Refer to Figure 14.14 on page 571. a. Predict the probability that a cardholder who charged $36,000 last year and does not have any additional credit cards for other authorized users will purchase the platinum card during the marketing campaign. b. Compa

> Consider the following logistic regression equation: ln (Estimated odds ratio) = 0.1 + 0.5X1i + 0.2X2i a. Interpret the meaning of the logistic regression coefficients. b. If X1 = 2 and X2 = 1.5, compute the estimated odds ratio and interpret its meaning

> Given an estimated odds ratio of 0.75, compute the estimated probability of an event of interest.

> Given an estimated odds ratio of 2.5, compute the estimated probability of an event of interest.

> An experiment was conducted to study the extrusion process of biodegradable packaging foam. Two of the factors considered for their effect on the unit density (mg>ml) were the die temperature (145 °C vs. 155 °C) and the die diameter (3 mm vs. 4 mm). The

> Interpret the meaning of a slope coefficient equal to 2.2 in logistic regression.

> The production of wine is a multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine experts, data was collected from red wine variants of Portuguese “Vinho Verde” wine. A sample of 50 wines is stored in

> The director of a training program for a large insurance company has the business objective of determining which training method is best for training underwriters. The three methods to be evaluated are classroom, online, and courseware app. The 30 traine

> In Problem 14.7 on page 542, you used weekly staff count and remote hours to predict standby hours (stored in Nickels26Weeks ). Develop a regression model to predict standby hours that includes total staff present, remote hours, and the interaction of to

> In Problem 14.5 on page 542, the percentage of alcohol and chlorides were used to predict the quality of red wines (stored in VinhoVerde ). Develop a regression model that includes the percentage of alcohol, the chlorides, and the interaction of the perc

> In Problem 14.6 on page 542, you used full-time voluntary turnover (%), and total worldwide revenue ($billions) to predict number of full-time job openings (stored in BestCompanies ). Develop a regression model to predict the number of full-time job open

> Zagat’s publishes restaurant ratings for various locations in the United States. The file Restaurants contains the Zagat rating for food, décor, service, and cost per person for a sample of 50 center city restaurants and 50 metro area restaurants. Source

> In Problem 14.4 on page 541, you used efficiency ratio and total risk-based capital to predict ROAA at a community bank (stored in CommunityBanks ). Develop a regression model to predict ROAA that includes efficiency ratio, total risk-based capital, and

> The owner of a moving company typically has his most experienced manager predict the total number of labor hours that will be required to complete an upcoming move. This approach has proved useful in the past, but the owner has the business objective of

> In mining engineering, holes are often drilled through rock, using drill bits. As a drill hole gets deeper, additional rods are added to the drill bit to enable additional drilling to take place. It is expected that drilling time increases with depth. Th

> Given the results from Problem 11.20, a. at the 0.05 level of significance, is there an effect due to factor A? b. at the 0.05 level of significance, is there an effect due to factor B? c. at the 0.05 level of significance, is there an interaction effect

> In Problem 14.5 on page 542, you developed a multiple regression model to predict wine quality for red wines. Now, you wish to determine whether there is an effect on wine quality due to whether the wine is white (0) or red (1). These data are organized

> A real estate association in a suburban community would like to study the relationship between the size of a single-family house (as measured by the number of rooms) and the selling price of the house (in $thousands). Two different neighborhoods are incl

> Profitability remains a challenge for banks and thrifts with less than $2 billion of assets. The business problem facing a bank analyst relates to the factors that affect return on average assets (ROAA), an indicator of how profitable a company is relati

> The chair of the accounting department plans to develop a regression model to predict the grade point average in accounting for those students who are graduating and have completed the accounting major, based on a student’s SAT score and whether the stud

> Suppose X1 is a numerical variable and X2 is a dummy variable with two categories and the regression equation for a sample of n = 20 is a. Interpret the regression coefficient associated with variable X1. b. Interpret the regression coefficient associa

> In Problem 14.8 on page 542, you used land area of a property and age of a house to predict the fair market value (stored in GlenCove ). Using the results from that problem, a. at the 0.05 level of significance, determine whether each independent variabl

> In Problem 14.6 on page 542, you used full-time voluntary turnover (%), and total worldwide revenue ($billions) to predict the number of full-time job openings (stored in BestCompanies). Using the results from that problem, a. at the 0.05 level of signi

> In Problem 14.7 on page 542, you used the weekly staff count and remote engineering hours to predict standby hours (stored in Nickels26Weeks ). Using the results from that problem, a. at the 0.05 level of significance, determine whether each independent

> In Problem 14.4 on page 541, you used efficiency ratio and total risk-based capital to predict ROAA at a community bank (stored in CommunityBanks ). Using the results from that problem, a. at the 0.05 level of significance, determine whether each indepen

> In Problem 14.5 on page 542, you used alcohol percentage and chlorides to predict wine quality (stored in VinhoVerde ). Using the results from that problem, a. at the 0.05 level of significance, determine whether each independent variable makes a signifi

> Given a two-factor factorial experiment and the ANOVA summary table that follows, fill in all the missing results: Degrees of Freedom Sum of Mean Square Squares Source (Variance) F FsTaT = ? MSB = ? FSTAT = 11.0 A r - 1 = 2 SSA = ? MSA = 80 B c - 1

> The following is the ANOVA summary table for a multiple regression model with two independent variables: If SSR(X1) = 20 and SSR(X2) = 15, a. determine whether there is a significant relationship between Y and each independent variable at the 0.05 leve

> The following is the ANOVA summary table for a multiple regression model with two independent variables: If SSR(X1) = 45 and SSR(X2) = 25, a. determine whether there is a significant relationship between Y and each independent variable at the 0.05 leve

> In Problem 14.8 on page 542, you used land area of a property and age of a house to predict the fair market value (stored in GlenCove ). Using the results from that problem, a. construct a 95% confidence interval estimate of the population slope between

> A nonprofit analyst seeks to determine which variables should be used to predict nonprofit charitable commitment, a nonprofit organization commitment to its charitable purpose. Two independent variables under consideration are Revenue, a measurement of t

> In Problem 14.7 on page 542, you used the weekly staff present and remote engineering hours to predict standby hours (stored in Nickels26Weeks). Using the results from that problem, a. construct a 95% confidence interval estimate of the population slope

> In Problem 14.6 on page 542, you used full-time voluntary turnover (%) and total worldwide revenue ($billions) to predict the number of full-time job openings (stored in BestCompanies ). Using the results from that problem, a. construct a 95% confidence