Answer Happy

Consider the following data on x = weight (pounds) and y = price (s) for 10 road-racing bikes. Brand Weight Price ($) A 17.8 2,100 B 16.1 6,250 С 14.9 8,370 D 15.9 6,200 E 17.2 4,000 F 13.1 8,600 G 16.2 6,000 H 17.1 2,480 17.6 3,500 14.1 8,000 These data provided the estimated regression equation 2 = 28,537 - 1,437x. For these data, SSE = 7,430,708.19 and SST = $2,204,800. Use the Ftest to determine whether the weight for a bike and the price are related at the 0.05 level of significance State the null and alternative hypotheses MO: A 0 Онон воо H₂ Bono Hoi Ro=0 Hipoo © Hot 2 = 0 Hotl=0 M: 0

These data provided the estimated regression equation 28,537 - 1,437x. For these data, SSE=14307/08.19 and SST = 52,304,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance. State the null and alternative hypotheses Оно: во OHO: Bo * 0 H: Bo = 0 OH: Bo = 0 O No 8, 20 H: 8,0 Ho Ri - 0 MB, 0 Find the value of the test statistic (Round your answer to two decimal places) Find the p-value (Round your answer to three decimal places.) p value State your conclusion Reject Ho. We conclude that the relationship between weight (pounds) and price (s) is significant O Do not reject Hy. We conclude that the relationship betwein weight (pounds) and price (s) is significant Do not reject Ho. We cannot conclude that the relationship between welght (pounds) and price (s) is significant Reject Ho. We cannot conclude that the relationship between welght (pounds) and price ($) is significant