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 6,350 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 2,480 17.6 3,300 14.1 8,000 These data provided the estimated regression equation y = 28,532 - 1,438x. For these data, SSE = 7,779,221.53 and SST = 52,710,800. Use the F test to determine whether the weight for a State the null and alternative hypotheses. OH: P1 $ 0 H . : B 1 = 0 O Ho: P1 = 0 Ha: P1 $ 0 O Ho : Po * 0 Ha: Po = 0 OH : B 1 20 Hai B1