Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes. Brand Weight Price (5) 17.8 2,100 B 16.1 6,150 14.9 8,370 D 15.9 6,200 E 17.2 4,000 F 13.1 8,700 G 16.2 6,000 H 17.1 2,580 1 17.6 3,500 14.1 8,000 These data provided the estimated regression equation 9 - 28,687 - 1,445x. For these data, SSE - 6,768,099.17 and SST = 52,189,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance State the null and alternative hypotheses Hoi Bono O Ho: Ayo Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. Reject H. We conclude that the relationship between weight (pounds) and price (s) is significant Reject Hy. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. Do not reject Mo. We conclude that the relationship between weight (pounds) and price (s) is significant