The question for regression analysis is if experience affects wages.
Regression Analysis r² 0.005 n 100 r 0.071 k 1 Std. Error 13.585 Dep. Var. Ex ANOVA table Source SS df MS F p-value Regression 90.43605758 1 90.43605758 0.49 .4856 Residual 18,085.12394242 98 184.54208105 Total 18,175.56000000 99 Regression output confidence interval variables coefficients std. error t (df=98) p-value 95% lower 95% upper Intercept 18.6411 2.8312 6.584 2.28E-09 13.0226 24.2596 Wage 0.00005640 0.00008056 0.700 .4856 -0.00010348 0.00021627
The question for regression analysis is if experience affects wages.
Regression Analysis r² 0.005 n 100 r 0.071 k 1 Std. Error 13.585 Dep. Var. Ex ANOVA table Source SS df MS F p-value Regression 90.43605758 1 90.43605758 0.49 .4856 Residual 18,085.12394242 98 184.54208105 Total 18,175.56000000 99 Regression output confidence interval variables coefficients std. error t (df=98) p-value 95% lower 95% upper Intercept 18.6411 2.8312 6.584 2.28E-09 13.0226 24.2596 Wage 0.00005640 0.00008056 0.700 .4856 -0.00010348 0.00021627
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