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week 5 - Regression Analysis R Adjusted R R Std Error ANOVA...

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Regression Analysis R² 0.180 Adjusted R² 0.150 n 58 R 0.424 k 2 Std. Error 550.535 Dep. Var. Balance (Y) ANOVA table Source SS df MS F p-value Regression ### 2 ### 6.04 .0043 Residual ### 55 ### Total ### 57 Regression output confidence interval variables coefficients std. error t (df=55) p-value 95% lower 95% upper Intercept 919.0722 180.2735 5.098 4.36E-06 557.7959 1,280.3484 Interest (x1) 235.5176 165.2986 1.425 .1599 -95.7482 566.7834 Services(x2) 112.8718 36.4884 3.093 .0031 39.7475 185.9961 Correlation Matrix Balance (Y) Interest (x1) Services(x2) Balance (Y) 1.000 Interest (x1) .193 1.000 Services(x2) .387 .050 1.000 58 sample size ± .259 critical value .05 (two-tail) ± .336 critical value .01 (two-tail) 0 0.2 0.4 0.6 0.8 1 1.2 0 500 1000 1500 2000 2500 3000 f(x) = 261.242 x + 1,412.558 R² = 0.037 Interest (x1) Balance (Y) 0 1 2 3 4 5 6 7 8 9 10 0 500 1000 1500 2000 2500 3000 f(x) = 115.487 x + 968.393 R² = 0.150 Services(x2)
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Column1 RESPONSE VARIA PREDICTOR VA Column2 Obs
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week 5 - Regression Analysis R Adjusted R R Std Error ANOVA...

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