SUMMARY OUTPUT Regression Statistics Multiple F 0.922938 R Square 0.851815 Adjusted 0.822178 Standard 3.103552 Observati ANOVA df Regressio Residual Total 25 SS MS F gnificance F 4 1107.359 276.8398 28.74156 4.86E-08 20 192.6408 9.632038 24 1300 Coefficientandard Err t Stat P-value Lower 95% Upper 95%ower 95.0%pper 95.0% Intercept -10.3768 5.074708 -2.04482 0.054259 -20.9625 0.208813 -20.9625 0.208813 Employer 0.348725 0.056566 6.164889 5.05E-06 0.23073 0.46672 0.23073 0.46672 Student S 0.229827 0.044332 5.184271 4.51E-05 0.137353 0.322301 0.137353 0.322301 Career Sel 0.194673 0.041183 4.727034 0.000129 0.108767 0.280579 0.108767 0.280579 Average P 0.150618 0.081338 1.851756 0.078882 -0.01905 0.320285 -0.01905 0.320285
Organization/Industry | Rank | Employer Survey | Student Survey | Career Service Director Survey | Average Pay |
Deloitte & Touche/accounting | 1 | 1 | 8 | 1 | 55 |
Ernst & Young/accounting | 2 | 6 | 3 | 6 | 50 |
PricewaterhouseCoopers/accounting | 3 | 22 | 5 | 2 | 50 |
KPMG/accounting | 4 | 17 | 11 | 5 | 50 |
U.S. State Department/government | 5 | 12 | 2 | 24 | 60 |
Goldman Sachs/investment banking | 6 | 3 | 13 | 16 | 60 |
Teach for America/non-profit; government | 7 | 24 | 6 | 7 | 35 |
Target/retail | 8 | 19 | 18 | 3 | 45 |
JPMorgan/investment banking | 9 | 13 | 12 | 17 | 60 |
IBM/technology | 10 | 11 | 17 | 13 | 60 |
Accenture/consulting | 11 | 5 | 38 | 15 | 60 |
General Mills/consumer products | 12 | 3 | 33 | 28 | 60 |
Abbott Laboratories/health | 13 | 2 | 44 | 36 | 55 |
Walt Disney/hospitality | 14 | 60 | 1 | 8 | 40 |
Enterprise Rent-A-Car/transportation | 15 | 28 | 51 | 4 | 35 |
General Electric/manufacturing | 16 | 19 | 16 | 9 | 55 |
Phillip Morris/consumer products | 17 | 8 | 50 | 19 | 55 |
Microsoft/technology | 18 | 28 | 9 | 34 | 75 |
Prudential/insurance | 19 | 9 | 55 | 37 | 50 |
Intel/technology | 20 | 14 | 23 | 63 | 60 |
Aflac/insurance | 21 | 9 | 55 | 62 | 50 |
Verizon Communications/utilities | 22 | 15 | 37 | 49 | 40 |
Central Intelligence Agency (CIA)/government | 23 | 45 | 7 | 29 | 45 |
Raytheon/manufacturing | 24 | 23 | 39 | 19 | 60 |
Nestle/consumer products | 25 | 20 | 31 | 44 | 50 |
Answer these questions
1. Is the relationship between the Employer Survey and Rank positive or negative?
2. Is the relationship between the Employer Survey and Rank significant at the 5% level?
3. Is the relationship between the Student Survey and Rank positive or negative?
4. Is the relationship between the Student Survey and Rank significant at the 5% level?
5. Is the relationship between the Career Service Director Survey and Rank positive or negative?
6. Is the relationship between the Career Service Director Survey and Rank significant at the 5% level?
7. Is the relationship between Average Pay and Rank positive or negative?
8. Is the relationship between Average Pay and Rank significant at the 5% level?
9. Is the relationship between Predicted Ranking and Rank positive or negative?
10. Is the relationship between Predicted Ranking and Rank significant at the 5% level?
11 Within the multivariata ranraccion which of the four indanandant variahlas has the most

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