STAT TECH IN BUSINESS & ECON LL\AC
STAT TECH IN BUSINESS & ECON LL\AC
18th Edition
ISBN: 9781264720545
Author: Lind
Publisher: MCG
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Chapter 13, Problem 15E

a.

To determine

Find the regression equation.

b.

To determine

Find the number of Kilowatt-hours, in thousands, for a six-room house.

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A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. Click on the datafile logo to reference the data. a. Choose the correct scatter diagram for these data with years of experience as the independent variable. B  (NEED ANSWERS FOR B and C) b. Develop an estimated regression equation that can be used to predict annual sales given the years of experience. c. Use the estimated regression equation to predict annual sales for a salesperson with 9 years of experience (to the nearest whole number).
Mr. James McWhinney, president of Daniel-James Financial Services, believesthere is a relationship between the number of client contacts and the dollar amountof sales. To document this assertion, Mr. McWhinney gathered the following sampleinformation. The x column indicates the number of client contacts last month andthe y column shows the value of sales ($ thousands) last month for each clientsampled a. Determine the regression equation.b. Determine the estimated sales if 40 contacts are made
The datasetBody.xlsgives the percent of weight made up of body fat for 100 men as well as other variables such as Age, Weight (lb), Height (in), and circumference (cm) measurements for the Neck, Chest, Abdomen, Ankle, Biceps, and Wrist. We are interested in predicting body fat based on abdomen circumference. Find the equation of the regression line relating to body fat and abdomen circumference. Make a scatter-plot with a regression line. What body fat percent does the line predict for a person with an abdomen circumference of 110 cm? One of the men in the study had an abdomen circumference of 92.4 cm and a body fat of 22.5 percent. Find the residual that corresponds to this observation. Bodyfat Abdomen 32.3 115.6 22.5 92.4 22 86 12.3 85.2 20.5 95.6 22.6 100 28.7 103.1 21.3 89.6 29.9 110.3 21.3 100.5 29.9 100.5 20.4 98.9 16.9 90.3 14.7 83.3 10.8 73.7 26.7 94.9 11.3 86.7 18.1 87.5 8.8 82.8 11.8 83.3 11 83.6 14.9 87 31.9 108.5 17.3…

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STAT TECH IN BUSINESS & ECON LL\AC

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