Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes. Brand Weight Price ($) A

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Consider The Following Data On X Weight Pounds And Y Price For 10 Road Racing Bikes Brand Weight Price A 1 (74.29 KiB) Viewed 29 times

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 8,600 G 16.2 6,000 H 17.1 2,480 I 17.6 3,400 3 14.1 8,000 These data provided the estimated regression equation 9 = 28,648 - 1,444x. For these data, SSE = 7,568,661.27 and SST = 52,874,800. 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. O Ho: Bo + 0 Ho: Bo = 0 OHO: B, = 0 H: 8,0 O Ho: Bo = 0 Ho: Bo 0 O Ho: B₂0 Ho: B, = 0 OHO: B, 20 Ho: B< 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. Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. Reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant. Reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. Do not reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant.