Can you help me with part C. I'll send everything to you. Part A and B are done. need help with C. thanks

a. Construct and examine the correlation matrix. Is multicollinearity a potential problem? Won Runs Hits Earned Run |Strike Average Outs Walks Won Runs 0.785 1 Hits 0.446 0.689 Earned Run Average -0.682 -0.163 0.086 Strike Outs - 0.232 0.001 -0.418 0.187 Walks 0.533 0.872 0.207 -0.241 0.368 (Type integers or decimals rounded to three decimal places as needed.) Is multicollinearity a potential problem? No, because none of the pairs of independent variables have correlation coefficients greater than 0.7.b. Suggest an appropriate set of independent variables that predict the number of wins by examining the correlation matrix. Use a critical value of 0.361 for the correlation coefficient. Select all that apply. YA. Eamed Run Average B. Walks VC. Runs D. Strike Outs VE. Hitsc. Find the best multiple regression model for predicting the number of wins having only significant independent variables. How good is your model? Does it use the same variables you thought were appropriate in part b? Use a level of significance of 0.05. Determine the best multiple regression model. Let X, represent Runs, let X represent Hits, let X; represent Earned Run Average, let X, represent Strike Outs, and let Xs represent Walks. Enter the terms of the equation so that the X-values are in ascending numeral order by base. Select the correct choice below and fill in the answer boxes within your choice. (Type integers or decimals rounded to three decimal places as needed.) O A. Won = + x X O B. Won = X O C. Won = + X jx D. Won = +( x +(x +(x O E. Won = +( )XWon Runs Hits Earned Run Average Strike Outs 65 |Walks 713 1366 4.81 1528 589 91 738 1411 3.56 1140 534 56 613 1440 4.59 1056 124 89 321 1511 4.19 1140 587 75 585 1414 4.18 1235 479 752 1467 4.0 927 467 91 794 1515 4.01 1218 522 59 540 1362 4.3 1184 545 83 770 1452 1.14 1274 585 751 1515 4.3 1147 546 30 719 1403 4.08 76 1375 514 611 1348 4.09 1025 415 57 576 1534 4.97 905 471 681 1363 4.04 1070 466 567 1368 4.01 1184 533 77 750 1471 4.58 1215 546 94 782 1521 3.95 967 659 79 656 1361 3.7 1095 502 95 85 1485 4.06 1136 562 563 1396 3.56 1061 527 97 772 1451 3.67 1064 560 57 587 1303 5 1207 163 90 565 1338 3.39 1183 538 92 697 1411 3.36 1099 487 61 513 1274 3.93 1184 459 736 1456 3.57 1027 541 96 300 1343 3.78 1294 572 90 787 1556 3.93 980 511 85 755 1364 4.22 1164 471 69 655 1355 4.13 1222 503 _DATA FILE