Question: Regression Statistics Multiple R 0.7378 R Square 0.5444 Adjusted R Square 0.5246 Standard Error 2117.0516 Observations 49 ANOVA df SS MS F Significance F Regression

 Regression Statistics Multiple R 0.7378 R Square 0.5444 Adjusted R Square

Regression Statistics Multiple R 0.7378 R Square 0.5444 Adjusted R Square 0.5246 Standard Error 2117.0516 Observations 49 ANOVA df SS MS F Significance F Regression 2 246,379,087.6316 123,189,543.8158 27.4860 1.4E-08 Residual 46 206,167,741.4296 4,481,907.4224 Total 48 452,546,829.0612 Coefficients Standard Error Stat P-value Lower 95 % Upper 95 % Intercept 14254.97451 2,504.3688 5.6920 0.000000836 9213.9416 19,296.0075 Education (Years) 2355.8372 334.8763 7.0349 0.000000008 1681.7662 3029.9082 Experience (Years) 830.5110 388.8036 2.1361 0.038025225 47.8899 1613.1321 Step 1 of 2: What would be your expected salary with no education and no experience? Sub

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