Programmer salaries

Programmer salaries - x1 x2 y 4 78 24.0 7 100 43.0 1 86...

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Unformatted text preview: x1 x2 y 4 78 24.0 7 100 43.0 1 86 23.7 5 82 34.3 8 86 35.8 10 84 38.0 75 22.2 1 80 23.1 6 83 30.0 6 91 33.0 9 88 38.0 2 73 26.6 10 75 36.2 5 81 31.6 6 74 29.0 8 87 34.0 4 79 30.1 6 94 33.9 3 70 28.2 3 89 30.0 35fcaa18765f314c6f7bd9c0be85bddd2d172362.xls simple regressions Exp (yrs) Score Ann. Salary ($K) x1 x2 y 4 78 24.0 7 100 43.0 1 86 23.7 5 82 34.3 8 86 35.8 10 84 38.0 75 22.2 1 80 23.1 6 83 30.0 6 91 33.0 9 88 38.0 2 73 26.6 10 75 36.2 5 81 31.6 6 74 29.0 8 87 34.0 4 79 30.1 6 94 33.9 3 70 28.2 3 89 30.0 2 4 6 0.0 10.0 20.0 30.0 40.0 50.0 f(x) = 1.62x + 22.81 R = 0.73 Years of Experien Salary, y 50 60 70 0.0 10.0 20.0 30.0 40.0 50.0 f(x) = 0.43x - 4.71 R = 0.35 Test Score, x Salary, y A B C D E F G H 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 35fcaa18765f314c6f7bd9c0be85bddd2d172362.xls simple regressions 8 10 12 ce, x1 80 90 100 2 I J K 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 SUMMARY OUTPUT Regression Statistics Multiple R 0.86 R Square 0.73 Adjusted R Square 0.72 Standard Error 2.99 Observations 20 ANOVA df SS MS F Significance F Regression 1 438.79 438.79438....
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Programmer salaries - x1 x2 y 4 78 24.0 7 100 43.0 1 86...

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