Consider the following data on x - weight (pounds) and y - price ($) for 10 road-racing bikes. Brand Weight Price ($) A 17.8 2,100 16.1 6,250 14.9 8,370 15.9 6,200 17.2 4,000 F 13.1 8,700 16.2 6,000 17.1 2,680 17.6 3,400 14.1 8,000 These data provided the estimated regression equation ý = 28,727 - 1,447x. For these data, SSE = 6,615,389.88 and SST = 52,152,800. 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. O H: .0 O Hgi Bo -0 O Hg: P -0 O Hg: P-0 O Hạ: P 20 Find the value of the test statistic. (Round your answer to two decimal places.) Find the prvalue. (Round your answer to three decimal places.) p-value - State your conclusion. O Do not reject H. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. O Reject Hg. We conclude that the relationship between weight (pounds) and price ($) is significant. O Do not reject H. We conclude that the relationship between weight (pounds) and price ($) is significant. O Reject H. We cannot conclude that the relationship between weight (pounds) and price ($) is significant.