Exercise 13-50 (LO13-6) 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. Size Price Size Price ($ millions), per Share, ($ millions), per Share, Company x y Company x y 1 9.0 10.8 9 160.7 11.3 2 94.4 11.3 10 96.5 10.6 3 27.3 11.2 11 83.0 10.5 4 179.2 11.1 12 23.5 10.3 5 71.9 11.1 13 58.7 10.7 6 97.9 11.2 14 93.8 11.0 7 93.5 11.0 15 34.4 10.8 8 70.0 10.7 Click here for the Excel Data File a. Determine the regression equation. (Round your answers to 4 decimal places.) b-1. To determine if the slope of the regression line is positive, state the decision rule for 0.05 significance level: H0: β ≤ 0; H1: β > 0. (Round your answer to 3 decimal places.) b-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.) b-3. Can we conclude that the slope of the regression line is positive? Use the 0.05 significance level. c. Determine the coefficient of determination. (Round your answer to 4 decimal places.)
Exercise 13-50 (LO13-6)
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.
Size | Price | Size | Price | |||||||
($ millions), | per Share, | ($ millions), | per Share, | |||||||
Company | x | y | Company | x | y | |||||
1 | 9.0 | 10.8 | 9 | 160.7 | 11.3 | |||||
2 | 94.4 | 11.3 | 10 | 96.5 | 10.6 | |||||
3 | 27.3 | 11.2 | 11 | 83.0 | 10.5 | |||||
4 | 179.2 | 11.1 | 12 | 23.5 | 10.3 | |||||
5 | 71.9 | 11.1 | 13 | 58.7 | 10.7 | |||||
6 | 97.9 | 11.2 | 14 | 93.8 | 11.0 | |||||
7 | 93.5 | 11.0 | 15 | 34.4 | 10.8 | |||||
8 | 70.0 | 10.7 | ||||||||
a. Determine the regression equation. (Round your answers to 4 decimal places.)
b-1. To determine if the slope of the regression line is positive, state the decision rule for 0.05 significance level: H0: β ≤ 0; H1: β > 0. (Round your answer to 3 decimal places.)
b-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)
b-3. Can we conclude that the slope of the regression line is positive? Use the 0.05 significance level.
c. Determine the coefficient of determination. (Round your answer to 4 decimal places.)
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