You may need to use the appropriate technology to answer this question. 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 6,150 C 14.9 8,370 D 15.9 6,200 E 17.2 4,000 F 13.1 8,700 G 16.2 6,000 - I 17.1 2,480 17.6 3,300 J 14.1 8,000 These data provided the estimated regression equation = 28,974 1,465x. For these data, SSE = 6,977,510.40 and SST = 53,650,800. 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 Po=0 H BOO HO: B1 = 0 O Ho: Po +0 : = 0 OHO B 20 HP