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# Consider the following computer output of a multiple regression analysis relating annual salary to years of

education and years of work experience.

Regression StatisticsMultiple R0.7355

0.7355R Square0.5410

0.5210Standard Error2129.2634

2129.2634Observations49

dfSS

SSMS

MSF

FSignificance F

FRegression2

2245,765,391.3226

245,765,391.3226122,882,695.6613

122,882,695.661327.1039

27.10391.7E-08

1.7E-08Residual46

46208,553,074.5958

208,553,074.59584,533,762.4912

4,533,762.4912Total48

48454,318,465.9184

454,318,465.9184CoefficientsStandard Errort

t StatP-valueLower 95%

95%Upper 95%

95%Intercept14277.24609

14277.246092,518.8148

2,518.81485.6682

5.66820.000000907

0.0000009079207.1349

9207.134919,347.3573

19,347.3573Education (Years)2352.8868

2352.8868336.8080

336.80806.9858

6.98580.00000001

0.000000011674.9275

1674.92753030.8461

3030.8461Experience (Years)829.5272

829.5272391.0464

391.04642.1213

2.12130.039316383

0.03931638342.3916

42.39161616.6628

1616.6628

Step 1 of 2 :  What would be your expected salary with no education and no experience?

The expected salary with... View the full answer

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