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 50CE

Mr. William Profit is studying companies going public for the first time. He is particularly interested in the relationship between the size of the offering and the price per share. A sample of 15 companies that recently went public revealed the following information.

Chapter 13, Problem 50CE, Mr. William Profit is studying companies going public for the first time. He is particularly

  1. a. Determine the regression equation.
  2. b. Conduct a test to determine whether the slope of the regression line is positive.
  3. c. Determine the coefficient of determination. Do you think Mr. Profit should be satisfied with using the size of the offering as the independent variable?
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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).
The county assessor is studying housing demand and is interested in developing a regression model to estimate the market value (i.e., selling price) of residential property within her jurisdiction. The assessor suspects that the most important variable affecting selling price (measured in thousands of dollars) is the size of house (measured in hundreds of square feet). She randomly selects 15 houses and measures both the selling price and size, as shown in the following table. Complete the table and then use it to determine the estimated regression line. Observation i 1 2 3 4 5 6 7 8 9 10 i 11 12 13 14 15 Total O 8.074 Regression Parameters Slope (B) Intercept (α) 10.181 8.358 O 0.327 Size (x 100 sq. ft.) O 0.316 12 20.2 27 O 0.398 30 30 O Yes 21.4 21.6 25.2 37.2 14.4 15 22.4 23.9 26.6 30.7 357.60 O No What is the standard error of the estimate (Se)? In words, for each hundred square feet, the expected selling price of a house Selling Price (x $1,000) Ii Yi y 265.2 253.4 12 2 20.2…

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STAT TECH IN BUSINESS & ECON LL\AC

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