i xi Yi ŷ (1-5)² 2 1 15 160 176.270 1.613 2 13.5 220 195.313 412.618 Complete the following worksheet and then use it to calculate the coefficient of determination. (yi-y)² 225.000 2,025.000 3 16.5 140 157.226 315.915 1,225.000 4567 4 5 14.5 190 182.618 17 140 58.034 225.000 150.878 581.871 1,225.000 6 16 160 163.574 130.553 225.000 7 13 200 201.661 710.809 625.000 9 868 18 10 15.5 150 138.182 12 200 214.357 190 169.922 Total 1,355.565 625.000 1,548.973 625.000 25.786 225.000 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? 207.960 ± 2(16.233) 0.376.210 ± 2(16.233) 207.960 ± 2(2.874) 376.210 ± 2(2.874) What is the price elasticity of demand at a selling price of $12.50? -0.76 -0.52 0 -0.05
i xi Yi ŷ (1-5)² 2 1 15 160 176.270 1.613 2 13.5 220 195.313 412.618 Complete the following worksheet and then use it to calculate the coefficient of determination. (yi-y)² 225.000 2,025.000 3 16.5 140 157.226 315.915 1,225.000 4567 4 5 14.5 190 182.618 17 140 58.034 225.000 150.878 581.871 1,225.000 6 16 160 163.574 130.553 225.000 7 13 200 201.661 710.809 625.000 9 868 18 10 15.5 150 138.182 12 200 214.357 190 169.922 Total 1,355.565 625.000 1,548.973 625.000 25.786 225.000 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? 207.960 ± 2(16.233) 0.376.210 ± 2(16.233) 207.960 ± 2(2.874) 376.210 ± 2(2.874) What is the price elasticity of demand at a selling price of $12.50? -0.76 -0.52 0 -0.05
Chapter1: Making Economics Decisions
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