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

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Regression Analysis R² 0.175 Adjusted R² 0.146 n 60 R 0.418 k 2 Std. Error 551.583 Dep. Var. Balance (Y) ANOVA table Source SS df MS F p-value Regression 3,679,517.83 2 1,839,758.92 6.05 .0042 Residual 17,341,915.10 57 304,244.12 Total 21,021,432.93 59 Regression output confidence interval variables coefficients std. error t (df=57) p-value 95% lower 95% upper Intercept 940.6582 179.7717 5.233 2.49E-06 580.6715 1,300.6448 Interest x1 251.3823 161.0806 1.561 .1242 -71.1759 573.9406 Services x2 111.4354 36.3362 3.067 .0033 38.6734 184.1975 Correlation Matrix Obs Balance (Y) Interest x1 Services x2 Obs 1.000 Balance (Y) .133 1.000 Interest x1 .039 .197 1.000 Services x2 .093 .374 .026 1.000 60 sample size ± .254 critical value .05 (two-tail) ± .330 critical value .01 (two-tail) Hypothesis Test: Paired Observations 0.000 hypothesized value 0.267 mean Interest x1 4.417 mean Services x2 -4.150 mean difference (Interest x1 - Services x2) 2.015 std. dev. 0.260 std. error 60 n 59 df -15.95 t 4.61E-23 p-value (two-tailed) 0 0.2 0.4 0.6 0.8 1 1.2 0 500 1000 1500 2000 2500 3000 f(x) = 264.045 x + 1,429.455 R² = 0.039 Interest x1 Balance (Y) y = 112.889 x + 1,001.273 R 2 = 0.140 0 500 1000 1500 2000 2500 3000 0 2 4 6 8 10 Services x2
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Column1 RESPONSE VARIABLE PREDICTOR VARIABLES Column2 Obs Balance (Y) Interest
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This note was uploaded on 03/01/2012 for the course ACC all taught by Professor All during the Spring '12 term at University of Phoenix.

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

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