i Ii Yi ŷ (ŷ; -9)² Complete the following worksheet and then use it to calculate the coefficient of determination. (Vi-9)² 1 15 160 178.464 2.143 289.000 2 13.5 220 200.423 548.637 1,849.000 3 16.5 140 156.505 420.045 1,369.000 4 14.5 190 185.784 77.159 169.000 5 17 140 149.185 773.674 1,369.000 6 16 160 163.824 173.607 289.000 7 13 200 207.743 945.132 529.000 8 00 18 150 134.545 1,802.427 729.000 9 12 220 222.382 2,059.526 1,849.000 10 15.5 190 171.144 34.293 169.000 Total The coefficient of determination (2) is. According to the regression model, which of the following is the best estimate together with the 95 percent prediction interval of paint sales (in thousands of gallons) in a sales region where the selling price is $12.50? O215.0602(2.636) 409.560 ± 2(14.889) 215.0602(14.889) 409.560 ± 2(2.636) What is the price elasticity of demand at a selling price of $12.50? -0.55 -0.85 -0.06
i Ii Yi ŷ (ŷ; -9)² Complete the following worksheet and then use it to calculate the coefficient of determination. (Vi-9)² 1 15 160 178.464 2.143 289.000 2 13.5 220 200.423 548.637 1,849.000 3 16.5 140 156.505 420.045 1,369.000 4 14.5 190 185.784 77.159 169.000 5 17 140 149.185 773.674 1,369.000 6 16 160 163.824 173.607 289.000 7 13 200 207.743 945.132 529.000 8 00 18 150 134.545 1,802.427 729.000 9 12 220 222.382 2,059.526 1,849.000 10 15.5 190 171.144 34.293 169.000 Total The coefficient of determination (2) is. According to the regression model, which of the following is the best estimate together with the 95 percent prediction interval of paint sales (in thousands of gallons) in a sales region where the selling price is $12.50? O215.0602(2.636) 409.560 ± 2(14.889) 215.0602(14.889) 409.560 ± 2(2.636) What is the price elasticity of demand at a selling price of $12.50? -0.55 -0.85 -0.06
Chapter1: Making Economics Decisions
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