Exam 18: A Roadmap for Analyzing Data

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SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below: SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below:   -Referring to Scenario 18-1, the observed value of the F-statistic is missing from the printout. What are the degrees of freedom for this F-statistic? -Referring to Scenario 18-1, the observed value of the F-statistic is missing from the printout. What are the degrees of freedom for this F-statistic?

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An entrepreneur is considering the purchase of a coin-operated laundry.The current owner Claims that over the past 5 years, the mean daily revenue was $675 with a standard deviation of $75)A sample of 30 days reveals a daily mean revenue of $625 and a standard deviation of $70. Which of the following tests will be the most appropriate?

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A quality control engineer is in charge of the manufacture of computer disks.Two different Processes can be used to manufacture the disks.He suspects that the Kohler method produces a Greater proportion of defects than the Russell method.He samples 150 of the Kohler and 200 of The Russell disks and finds that 27 and 18 of them, respectively, are defective.If Kohler is Designated as "Group 1" and Russell is designated as "Group 2," which of the following tests Will you use to find out if the Kohler method is worse than the Russell method?

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SCENARIO 18-2 SCENARIO 18-2   -Referring to Scenario 18-2, what is the value of the partial F test statistic for  -Referring to Scenario 18-2, what is the value of the partial F test statistic for SCENARIO 18-2   -Referring to Scenario 18-2, what is the value of the partial F test statistic for

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A sample of 100 fuses from a very large shipment is found to have 10 that are defective.Based On this information, which of the following will you construct to learn about the proportion of Fuses that are defective?

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A physician and president of a Tampa Health Maintenance Organization (HMO)are attempting To show the benefits of managed health care to an insurance company.The physician believes That certain types of doctors are more cost-effective than others.To investigate this, the president Obtained independent random samples of 20 HMO physicians from each of 4 primary specialties - General Practice (GP), Internal Medicine (IM), Pediatrics (PED), and Family Physicians (FP)- And recorded the total charges per member per month for each.A second variable which the President believes influences total charges per member per month is whether the doctor is a Foreign or USA medical school graduate.To investigate this, the president also collected data on 20 foreign medical school graduates in each of the 4 primary specialty types described above.So Information on charges for 40 doctors (20 foreign and 20 USA medical school graduates)was obtained for each of the 4 specialties.The president has already found out that specialty types And origin of the medical degree do not interact to affect the charges.Which of the following Tests will be the most appropriate to find out if the primary specialty affects the charges?

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SCENARIO 18-3 SCENARIO 18-3   -Referring to Scenario 18-3, the net regression coefficient of X2 is ________. -Referring to Scenario 18-3, the net regression coefficient of X2 is ________.

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SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -True or False: Referring to Scenario 18-9, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.7679 seconds higher than that of an SUV. The various residual plots are as shown below. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -True or False: Referring to Scenario 18-9, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.7679 seconds higher than that of an SUV. A Roadmap for Analyzing Data 18-63 SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -True or False: Referring to Scenario 18-9, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.7679 seconds higher than that of an SUV. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -True or False: Referring to Scenario 18-9, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.7679 seconds higher than that of an SUV. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -True or False: Referring to Scenario 18-9, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.7679 seconds higher than that of an SUV. 18-64 A Roadmap for Analyzing Data SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -True or False: Referring to Scenario 18-9, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.7679 seconds higher than that of an SUV. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -True or False: Referring to Scenario 18-9, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.7679 seconds higher than that of an SUV. -True or False: Referring to Scenario 18-9, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.7679 seconds higher than that of an SUV.

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Every spring semester, the School of Business coordinates with local business leaders a luncheon For graduating seniors, their families, and friends.Corporate sponsorship pays for the lunches of Each of the seniors, but students have to purchase tickets to cover the cost of lunches served to Guests they bring with them.Data on the number of guests each graduating senior invited to the Luncheon and the number of graduating seniors in each category were collected.You want to Know the most popular number of guests brought by the graduating seniors.Which of the Following will you compute?

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SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below: SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below:   -Referring to Scenario 18-1, what fraction of the variability in house size is explained by income, Size of family, and education? -Referring to Scenario 18-1, what fraction of the variability in house size is explained by income, Size of family, and education?

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SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below: SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below:   -Referring to Scenario 18-1, one individual in the sample had an annual income of $100,000, a Family size of 10, and an education of 16 years.This individual owned a home with an area of 7,000 square feet (House = 70.00).What is the residual (in hundreds of square feet)for this data Point? -Referring to Scenario 18-1, one individual in the sample had an annual income of $100,000, a Family size of 10, and an education of 16 years.This individual owned a home with an area of 7,000 square feet (House = 70.00).What is the residual (in hundreds of square feet)for this data Point?

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The superintendent of a school district wanted to predict the percentage of students passing a Sixth-grade proficiency test.She obtained the data on percentage of students passing the Proficiency test (% Passing), daily mean of the percentage of students attending class (% Attendance), mean teacher salary in dollars (Salaries), and instructional spending per pupil in Dollars (Spending)of 47 schools in the state.She believed that holding everything else constant, Instructional spending per pupil had a positive but decreasing impact on percentage.Which of The following would be the most appropriate analysis to perform?

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SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below: SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below:   -Referring to Scenario 18-1, what are the regression degrees of freedom that are missing from the Output? -Referring to Scenario 18-1, what are the regression degrees of freedom that are missing from the Output?

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An airline wants to select a computer software package for its reservation system.Four software Packages (1, 2, 3, and 4)are commercially available.An experiment is set up in which each Package is used to make reservations for 5 randomly selected weeks and data on the number of Passengers that are bumped over a month are collected.(A total of 20 weeks was included in the Experiment.)The variance on the number of passengers that are bumped is found to be roughly The same for the 4 packages.Which of the following tests will be the most appropriate to find Out if the mean number of passengers being bumped over a month is the same across the 4 Packages?

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A sample of 200 students at a Big-Ten university was taken after the midterm to ask whether they went bar hopping the weekend before the midterm or spent the weekend studying, and whether they did well or poorly on the midterm.You can use a contingency table to present this information.

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An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds.She plants all 3 Varieties of the seeds on each of 5 different patches of fields.She then measures the crop yield in Bushels per acre.Which of the following tests will be the most appropriate to find out if there is Any difference in crop yield among the 3 varieties?

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A realtor wants to compare the variability of sales-to-appraisal ratios of residential properties Sold in four neighborhoods (A, B, C, and D).Four properties are randomly selected from each Neighborhood and the ratios recorded for each were collected.Which of the following tests will Be the most appropriate?

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SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for Cargo Vol? The various residual plots are as shown below. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for Cargo Vol? A Roadmap for Analyzing Data 18-63 SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for Cargo Vol? SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for Cargo Vol? SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for Cargo Vol? 18-64 A Roadmap for Analyzing Data SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for Cargo Vol? SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for Cargo Vol? -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for Cargo Vol?

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An airline wants to select a computer software package for its reservation system.Four software Packages (1, 2, 3, and 4)are commercially available.The airline will choose the package that Bumps as few passengers, on the average, as possible during a month.An experiment is set up in Which each package is used to make reservations for 5 randomly selected weeks.(A total of 20 Weeks was included in the experiment.)Which of the following tests will be the most Appropriate?

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