1. Exercise One: Given the date below for Chambers Electronics, and using the Multiple Linear Regression Module as your guide, (a) compute the average, median and standard deviation for Model A, B and C. (b) as shown in class, run a preliminary Multiple Linear Regression (MLR) and determine the statistical significance of your input variables, (c) calibrate your model based on your statistical inference, (d) re-run the Multiple Linear Regression model with the statistical significant inputs, (e) as shown in class, forecast the Sales values for the 20, 21, and 22 days. (Please notice that your data may extend into next page). Day 1 2 Sales M 23289 22786 23314 20383 25193 23772 22053 21850 19817 5 m. Model A 314 728 599 778 964 450 646 741 429 912 885 642 Model B 340 491 509 474 946 738 554 707 537 974 874 439 Model C 727 510 623 557 434 700 379 388 481 849 783 627 10 11 12 27432 23853 23153 13 14 15 16 17 18 19 20 21 22 20920 23203 24818 26631 22052 22924 23460 299 612 989 999 530 888 585 626 737 938 551 788 672 907 389 406 312 425 388 515 507 603 703 919 864 931 638 714 689 901