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Bicyclers, a leading cycling magazine, reviews hundreds of bicycles throughout every year. Their review of "Utro-Road" category of luxury bikes pays close attention to the weight of the bike. The following data show the weight (pounds) and price ($) for 10 racing bikes they reviewed. Run a regression analysis on the following bivariate set of data with y as the response variable. Use a = 0.05 to make any decisions. Weight Price 16 1890 17.7 6875 14.9 8370 15.9 5820 17.2 4000 13.1 8600 14.6 6000 18.8 2450 15.8 3400 15.5 8000 Compute the equation of the linear regression line in the form y = ma + b , where m is the slope and b is the intercept. Answer: y = * + (Round to three decimal places) Compute the correlation coeficient for this data set. Use at least 3 decimal places. (Round if necessary) Answer : r = Compute the P-value (Use HA: slope # 0 for the alternative hypothesis.) Answer: P-value = (Round to three decimal places) At the alpha = 0.05 significance level, is the correlation significant? No Yes, significant correlation What is an appropriate prediction for the price of a bike if the weight is 17 pounds? Answer = (Round to two decimal places) Question Help: D Post to forum Submit