Show transcribed image text QUANTITATIVE METHODS FOR MGT DECISIONS SIMPLE LINEAR REGRESSION REVIEW DSC 410, Spring 2016, FILE #4 DAILY HIGH and ICE CREAM SALES The owner of a large chain of ice cream would like to study the effect of atmospheric temperature on sales of ice cream during the summer season. A sample of 21 consecutive days is selected with the following results: Daily Higlh Temperature Degrees Fl Sales Per Store (Thousands of . Dollars). 70 73 75 80 82 85 1.52 1.68 1.80 2.05 2.36 2.25 2.68 2.90 90 91 92 75 98 100 92 87 84 10 3.06 3.24 1.92 3.40 3.28 12 13 15 16 17 18 19 20 21 2.83 2.58 2.86 2.26 2.14 1.98 80 82 76 A simple linear regression of the form Y, bb, X, with DAILY HIGH as the explaining (independent) variable, and SALES as the explained (dependent variable). The computer output (results) is found below. Use heuut to spond to the questions. MODEL: SALES = bo + bi"DAILYHIGH
QUANTITATIVE METHODS FOR MGT DECISIONS SIMPLE LINEAR REGRESSION REVIEW DSC 410, Spring 2016, FILE #4 DAILY HIGH and ICE CREAM SALES The owner of a large chain of ice cream would like to study the effect of atmospheric temperature on sales of ice cream during the summer season. A sample of 21 consecutive days is selected with the following results: Daily Higlh Temperature Degrees Fl Sales Per Store (Thousands of . Dollars). 70 73 75 80 82 85 1.52 1.68 1.80 2.05 2.36 2.25 2.68 2.90 90 91 92 75 98 100 92 87 84 10 3.06 3.24 1.92 3.40 3.28 12 13 15 16 17 18 19 20 21 2.83 2.58 2.86 2.26 2.14 1.98 80 82 76 A simple linear regression of the form Y, bb, X, with DAILY HIGH as the explaining (independent) variable, and SALES as the explained (dependent variable). The computer output (results) is found below. Use heuut to spond to the questions. MODEL: SALES = bo + bi"DAILYHIGH
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