Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes. Brand Weight Price ($) A 17.8 2,100 B 16.1 6,350 C 14.9 8,370 D 15.9 6,200 E 17.2 4,000 F 13.1 8,500 G 16.2 6,000 H 17.1 2,680 I 17.6 3,300 14.1 8,000 Use these data to develop an estimated regression equation that can be used to predict the price of a road-racing bike given its weight in pounds. (Let x = weight (pounds), and let y = price (in $). Round your numerical values to the nearest integer.) y = Use the F test to determine whether the weight of a bike and the price are related at the 0.05 level of significance. State the null and alternative hypotheses. HO: Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. ---Select-- |H. We ---Select--- |conclude that the relationship between weight (pounds) and price ($) ---Select-- |significant