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

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Step 1 of 2 : 
What would be your expected salary with no education and no experience?
Consider the following computer output of a multiple regression analysis relating annual salary to years of education and years of work experience.
Regression Statistics
Multiple R
0.7351
R Square
0.5403
Adjusted R Square
0.5203
Standard Error
2131.6615
Observations
49
ANOVA
df
SS
MS
F
Significance F
Regression
2
245,704,176.0043
122,852,088.0022
27.0362
1.7E-08
Residual
46
209,023,121.9549
4,543,980.9121
Total
48
454,727,297.9592
Coefficients
Standard Error
t Stat
P-value
Lower 95 %
Upper 95 %
Intercept
14275.84267
2,521.6516
5.6613
0.000000929
9200.0213
19,351.6641
Education (Years)
2352.2326
337.1873
6.9760
0.00000001
1673.5098
3030.9554
Experience (Years)
830.6944
391.4868
2.1219
0.0392633
42.6723
1618.7165
Transcribed Image Text:Consider the following computer output of a multiple regression analysis relating annual salary to years of education and years of work experience. Regression Statistics Multiple R 0.7351 R Square 0.5403 Adjusted R Square 0.5203 Standard Error 2131.6615 Observations 49 ANOVA df SS MS F Significance F Regression 2 245,704,176.0043 122,852,088.0022 27.0362 1.7E-08 Residual 46 209,023,121.9549 4,543,980.9121 Total 48 454,727,297.9592 Coefficients Standard Error t Stat P-value Lower 95 % Upper 95 % Intercept 14275.84267 2,521.6516 5.6613 0.000000929 9200.0213 19,351.6641 Education (Years) 2352.2326 337.1873 6.9760 0.00000001 1673.5098 3030.9554 Experience (Years) 830.6944 391.4868 2.1219 0.0392633 42.6723 1618.7165
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