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

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Consider The Following Data On X Weight Pounds And Y Price For 10 Road Racing Bikes Brand Weight Price 1 (13.65 KiB) Viewed 20 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 6,250 с 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 H 17.1 2,580 I 17.6 3,300 ) 14.1 8,000

These data provided the estimated regression equation ý = 28,458 – 1,433x. For these data, SSE = 7,312,286.84 and SST = 51,956,800. 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 Ho: B220 H: B; <0 OHO: B4 = 0 H: 8,0 O Ho: #0 H: B = 0 OHO: B-0 H: B. + 0 O Ho: B2 70 H: 8,1 = 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. O Do not reject H. 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. O Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price (s) is significant. O Reject H. We conclude that the relationship between weight (pounds) and price ($) is significant.