STAT 4220 HW1 - Austin Wen STAT 4220 HW1 1 a R code > library(faraway > data(savings > savings > mdl = lm sr ~ pop15 pop75 dpi ddpi data=savings >

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Austin Wen STAT 4220 HW1 1. ( a) R code > library(faraway) > data(savings) > savings > mdl = lm( sr ~ pop15+pop75+dpi+ddpi, data=savings) > summary(mdl) Call: lm(formula = sr ~ pop15 + pop75 + dpi + ddpi, data = savings) Residuals: Min 1Q Median 3Q Max -8.2422 -2.6857 -0.2488 2.4280 9.7509 Coefficients: Estimate Std.Error t value Pr(>|t|) (Intercept) 28.5660865 7.3545161 3.884 0.000334 *** pop15 -0.4611931 0.1446422 -3.189 0.002603 ** pop75 -1.6914977 1.0835989 -1.561 0.125530h dpi -0.0003369 0.0009311 -0.362 0.719173 ddpi 0.4096949 0.1961971 2.088 0.042471 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 3.803 on 45 degrees of freedom Multiple R-squared: 0.3385, Adjusted R-squared: 0.2797 F-statistic: 5.756 on 4 and 45 DF, p-value: 0.0007904 (b) We define the pop15’s coefficient equal to β 1 , and then set up the hypotheses H o : β 1 = 0 Ha : β 1 ≠ 0 Reject H o . There is significant evidence that the β 1 is not equal to zero because the p-
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This note was uploaded on 06/06/2011 for the course STAT 4220 taught by Professor Smith during the Spring '08 term at University of Georgia Athens.

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STAT 4220 HW1 - Austin Wen STAT 4220 HW1 1 a R code > library(faraway > data(savings > savings > mdl = lm sr ~ pop15 pop75 dpi ddpi data=savings >

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