Data Analysis for Business Applications MA 321 Extra Credit Directions: Please complete the problem below for extra credit. lfyou get it incorrect, it will not count against you. You may receive partial credit for you answer. 1. How many of you tweet, post, or \"like\" a link about a TV series before watching it? Turns out thatwhen you share content from a show within social media, you're not just telling the world about your interest. You're actually helping to boost the show's ratings. Business executives of popular TV shows know this and deliberately make moves to get people to create a social stir, which will eventually lead to more revenue. You gathered information on ve popular TV shows over the course of 6 months. You found the percent increase in social buzz for each show as well as the percent increase in ratings. Data is below: Percent IncreaSe in Nielsen Ratings {7) Young Sheldon Hip Hop Squares All of Us America's Cot Talent Problem: Find and state the coelcicnt of determination for the above ratings data, which describes the degree of relationship between the independent and dependent variables. Its formula is given by: 2. Suppose we gathered data on these small actions from a sample of 15 households in various US cities. Essentially, we observe C02 levels (0 100 scale) in the area of each of the 15 homes and record information on four explanatory variables. In an effort to predict these C02 levels 0!), we amass data, found below, on four variables for a year: 1. the average number of hours per month appliances are left in standby mode instead of shut off (30); 2. the number of times residents use disposable shopping bags instead of reusable ones (35;); 3. the number of times residents carpooled to work for the year (my); and, 4. for the year, total pounds recycled instead of thrown in regular trash (X4). J! x; x; x; 154 C02 levels # hrs appliances # times disp. #times total lbs (0 100 scale) in standby mode bags used carpooled recycled 97 700 45 4 20 25 59 16 299 410 44 78 26 187 333 90 61 1 38 20 49 1 1 29 40 300 488 68 322 33 180 209 39 299 29 346 399 8 0 10 338 500 74 600 39 99 1 12 81 588 19 0 9 50 342 26 155 281 82 90 48 16 84 78 600 30 300 182 18 10 0 340 477 90 12 39 9 17 Determine which arrangementf combination of independent variables yields the hm\" mean prediction of C02 levels. Give statistical justication for your answer. Determine which arrangement/ combination of independent variables yields the worst mean prediction of C02 levels. Give statistical justication for your