In the data set that follows, let * be the number of hours played on Gitadora, and let y represent the corresponding skill points (out of 100). Janists claims that there was a linear relationship between skill points (response) and hours played (predictor) on Gitadora. Do you agree with her claim? x 2.5 3.4 4.1 5.6 6.2 7.3 8.4 8.5 y 73.33 75.50 83.50 86.25 89.50 92.50 92.50 93.25 Find the value of r (use the multiple, not adjusted, if doing this in R). Round to four decimals. -2 = 1 Explain your reasoning. The high value of re confirms Janista's claim. O The low value of re confirms Janista's claim. O The low value of r denies Janista's claim. The high value of r* denies Janista's claim. What were were the point estimates for the slope and the intercept? Round to four decimals. Estimated intercept: Estimated slope: Interpret your slope in the context of the problem. What is the residual sum of squares from the model you obtained? Round to four decimals. How many skill points would you predict someone to get if they played Gitadora for 11 hours? Does this amount of skill points make sense? Explain why or why not