Team League Wins E R A Runs Scored Hits Allowed Walks Allowed Saves Errors Baltimore 0 69 4 89 708 1568 535 32 110 Boston 0 90 4 20 875 1366 540 36 92 Chicago White Sox 0 79 4 10 654 1463 439 42 79 Cleveland 0 80 4 23 704 1482 463 38 110 Detroit 0 95 4 04 787 1406 492 52 103 Kansas City 0 71 4 44 730 1487 557 37 95 Los Angeles Angels 0 86 3 57 667 1388 476 39 93 Minnesota 0 63 4 58 619 1564 480 32 119 New York Yankees 0 97 3 73 867 1423 507 47 102 Oakland 0 74 3 71 645 1380 519 39 124 Seattle 0 67 3 90 556 1369 436 39 108 Tampa Bay 0 91 3 58 707 1263 504 32 73 Texas 0 96 3 79 855 1327 461 38 114 Toronto 0 81 4 32 743 1433 540 33 110 Arizona 1 94 3 80 731 1414 442 58 90 Atlanta 1 89 3 48 641 1332 521 52 83 Chicago Cubs 1 71 4 33 654 1439 580 40 134 Cincinnati 1 79 4 16 735 1414 539 39 91 Colorado 1 73 4 43 735 1471 522 41 98 Houston 1 56 4 51 615 1477 560 25 116 Los Angeles Dodgers 1 82 3 54 644 1287 507 40 85 Miami 1 72 3 95 625 1403 500 40 93 Milwaukee 1 96 3 63 721 1348 440 47 111 New York Mets 1 77 4 19 718 1482 514 43 116 Philadelphia 1 102 3 02 713 1320 404 47 74 Pittsburgh 1 72 4 04 610 1513 535 43 112 St Louis 1 90 3 74 762 1461 448 47 116 San Diego 1 71 3 42 593 1324 521 44 94 San Francisco 1 86 3 20 570 1260 559 52 104 Washington 1 80 3 58 624 1403 477 49 104 Part 1 Use worksheet baseball stats to perform a multiple regression analysis on the dataset found in BB2011 tab, using Wins as the dependent variable, and League, ERA, Runs Scored, Hits Allowed, Walks Allowed, Saves, and Errors as candidates for the independent variables Perform the analysis at the 5 significance level a) Create a full write up, where you write your statistical analysis step by step In your write up, make sure you address the following points Methodology and steps that you took to get to your final regression equation Final regression equation output What is the final regression equation Interpret all the coefficients in the equation Speak to whether the signs on the coefficients make sense Interpret R squared Include a full residual analysis What is the residual of the Tampa Bay observation

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Team League Wins E.R.A. Runs Scored Hits Allowed Walks Allowed Saves Errors Baltimore 0 69 4.89 708 1568 535 32 110 Boston 0 90 4.20

Team	League	Wins	E.R.A.	Runs Scored	Hits Allowed	Walks Allowed	Saves	Errors
Baltimore	0	69	4.89	708	1568	535	32	110
Boston	0	90	4.20	875	1366	540	36	92
Chicago White Sox	0	79	4.10	654	1463	439	42	79
Cleveland	0	80	4.23	704	1482	463	38	110
Detroit	0	95	4.04	787	1406	492	52	103
Kansas City	0	71	4.44	730	1487	557	37	95
Los Angeles Angels	0	86	3.57	667	1388	476	39	93
Minnesota	0	63	4.58	619	1564	480	32	119
New York Yankees	0	97	3.73	867	1423	507	47	102
Oakland	0	74	3.71	645	1380	519	39	124
Seattle	0	67	3.90	556	1369	436	39	108
Tampa Bay	0	91	3.58	707	1263	504	32	73
Texas	0	96	3.79	855	1327	461	38	114
Toronto	0	81	4.32	743	1433	540	33	110
Arizona	1	94	3.80	731	1414	442	58	90
Atlanta	1	89	3.48	641	1332	521	52	83
Chicago Cubs	1	71	4.33	654	1439	580	40	134
Cincinnati	1	79	4.16	735	1414	539	39	91
Colorado	1	73	4.43	735	1471	522	41	98
Houston	1	56	4.51	615	1477	560	25	116
Los Angeles Dodgers	1	82	3.54	644	1287	507	40	85
Miami	1	72	3.95	625	1403	500	40	93
Milwaukee	1	96	3.63	721	1348	440	47	111
New York Mets	1	77	4.19	718	1482	514	43	116
Philadelphia	1	102	3.02	713	1320	404	47	74
Pittsburgh	1	72	4.04	610	1513	535	43	112
St. Louis	1	90	3.74	762	1461	448	47	116
San Diego	1	71	3.42	593	1324	521	44	94
San Francisco	1	86	3.20	570	1260	559	52	104
Washington	1	80	3.58	624	1403	477	49	104

Part 1. Use worksheet "baseball stats" to perform a multiple regression analysis on the dataset found in BB2011 tab, using Wins as the dependent variable, and League, ERA, Runs Scored, Hits Allowed, Walks Allowed, Saves, and Errors as candidates for the independent variables. Perform the analysis at the 5% significance level. a) Create a full write up, where you write your statistical analysis step by step. In your write up, make sure you address the following points. -Methodology and steps that you took to get to your final regression equation. - Final regression equation output. - What is the final regression equation? - Interpret all the coefficients in the equation. - Speak to whether the signs on the coefficients make sense. - Interpret R squared. - Include a full residual analysis. - What is the residual of the Tampa Bay observation?