Chapter 13 HWquestions.docx - Chapter 13 Central Tendency...

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Chapter 13. Central Tendency and Dispersion Measures 13.2, 13.6, 13.7, 13.8 13.2 Practice Question Book. Jasmine is interested in assessing the effects of the number of smart phones sold on the amount of net profit her company receives from the phone sales. After collecting weekly data for a year, she constructs the following regression equation. Amount of net profit (in dollars) = -50000 + 100 Number of smart phones sold N = 52 R-square = .80 A. Interpret the regression coefficient, y-intercept, and R-square. a. The regression coefficient of 100 indicates that the amount of net profit goes up $100 when the number of smart phones sold goes up by 1 or for every smart phone sold, the net profit increases by $100. b. The y-intercept of -50,000 indicates that the amount of net profit is -50,000 dollars when the number of smart phones sold is 0 or when there are no smart phones sold, the amount of net profit is -50,000 dollars. c. The R-square of .80 indicates that 80% of the variation in the amount of net profit is explained by the number of smart phones sold.
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