ames shown at the bottom of the previous page (the first 7 and he chronologically ordered data set), it would appear that the good team, with a record of 8W-4L-2T, or a winning probability 43 (assuming a tie counts as a 'half-win'). Assuming that these a random sample from all 466 games, calculate a 90% confidence e true winning proportion based on these 14 games. Compare his interval with the true winning proportion (calculated over all d comment on any agreement or disagreement which is noted. variable called DIFF, where DIFF=RUNS-ORUN. Then, ex- late commands to create and print out the 5-by-5 matrix of ations between the five numerical variables PIFF, RUNS, ERR) and discuss briefly what this output reveals. measure of offensive prowess, one would suspect that the team ore runs as HIT increases. Run a simple linear regression to from HIT. Use it to predict how many runs would be scored in The team obtained 15 hits, and obtain a 95% Prediction Interval ate. Of the 45 games in which the team achieved exactly 15 roportion of these games was the team'sRUNS actually in the ated in the previous sentence? en = 466 games and only k