A statistics enthusiast decided to take a sample of the songs in his iTunes library and record for each of them multiple variables including the Genre, Size, Total Time, Track Number, Year, Date Added, Play Count, and Skip Count. He decided to practice his statistics with the data and endeavored to create a regression equation predicting Size as a function of Year. He obtained the following results: Parameter estimates: Parameter Estimate Std. Err. Alternative DF TStat P-value Intercept -77969326 98644459 10 366 079040756 0.4298 Slope 44091366 49386803 7:0 366 0.89277626 0.3726 a) Write his regression ine as an equation (round to 2 decimal places where appropriate): b) Suppose he found a particular song had a residual of 11.2. What does this mean? 0 That particular song had a response variable 11.2 greater than what the model predicted. O That particular song had a response variable 11.2 less than what the model predicted. O That particular song had an explanatory variable 11.2 greater than what the model predicted. 0 That particular song had an explanatory variable 11.2 less than what the model predicted