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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 19.6 2310 16.1 6875 14.9 7533 15.9 6200 17.2 4400 14.4 9460 16.2 6000 18.8 2205 17.6 3060 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 = JX + (Round to three decimal places) Compute the correlation coeficient for this data set. Use at least 3 decimal places. (Round if necessary) Answer: T = 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 18 pounds? Answer = (Round to two decimal places) Check Answer @ N B 4 5 tab W R T Y U ock A S D F G H C K Z X C V B N M