Incorrect Question 33 0 / 2.5 pts A researcher wanted to determine if there was a relationship between new home sales (X) and appliance sales (Y) so data were gathered from 8 cities from the previous 6 months (so 8 data points total). The sum of the new home sales data is 18,892 and when each home sale value is squared and then summed, the resulting sum is 49,866,842. The sum of the appliance sales data is 2,497 and when each of the appliance sale value is squared and then summed, the resulting sum is 844,085. The sum(XY) ... each X data point multiplied by its corresponding Y and then summed ... is 6,255,972. Using this information, calculate SSxx, SSyy, SSxy, the slope of the regression line, the standard error of the slope and construct a 99% confidence interval for the true (unobservable) population slope. Data for this problem are expressed in millions. SSxx = 64,708.8750, SSyy = 5,253,384.0000, $5xy = 359,306.5000, slope - 0.0684, standard error of slope = 40,134.0179, lower bound = -0.0639, upper bound = 0.2007 SSXx = 5,253,384.0000, SSyy = 64,708.8750, SSxy = 359,306.5000, slope = 0.0684, standard error of slope = 0.0357, lower bound - -0.0639, upper bound - 0.2007 SSxx = 5,253,384.0000, SSyy = 64,708.8750, SSxy = 359,306.5000, slope = 0.0684, standard error of slope = 0.0357, lower bound = -16.3385, upper bound = 627.3882 SSxx = 5,253,384.0000, SSyy = 359,306,5000, SSxy = 64,708.8750, slope = 150.6096, standard error of slope = 0.0357, lower bound = 197.5640, upper bound = 413.4857 ort SSxx = 359,306.5000, SSyy = 64,708.8750, SSxy = 5.253,384.0000, slope = 0.0684, standard error of slope = 81.7863, lower bound = -0.0639, upper bound = 0.2007 udies