> y<-c(131.79, 131.79, 135.02, 135.55, 136.46, 136.83, 137.82, 138.00,
138.06, 138.04, 140.04, 142.44, 145.47, 144.34, 146.30, 147.54, 147.80)
> x<-c(194.5, 194.3, 197.9, 198.4, 199.4, 199.9, 200.9, 201.1, 201.4, 201.3,
203.6, 204.6, 209.5,208.6, 210.7, 211.9, 212.2)
> fitted.results<-lm(y~x)
> summary(fitted.results)
Call:
lm(formula = y ~ x)
Residuals:
Min 1Q Median 3Q Max
-0.32220 -0.14473 -0.06664 0.02184 1.35978
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -42.13778 3.34020 -12.62 2.18e-09 ***
x 0.89549 0.01645 54.43 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.379 on 15 degrees of freedom
Multiple R-squared: 0.995, Adjusted R-squared: 0.9946
F-statistic: 2963 on 1 and 15 DF, p-value: < 2.2e-16
> anova(fitted.results)
Analysis of Variance Table
Response: y
Df Sum Sq Mean Sq F value Pr(>F)
x 1 425.64 425.64 2962.8 < 2.2e-16 ***
Residuals 15 2.15 0.14
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
-----------------------------------------------------------------------------------------------------------------------------------
The above is the expected result. But when I did that in my computer, the
result became:
-----------------------------------------------------------------------------------------------------------------------------------
> summary(fitted.results)
Call:
lm(formula = y ~ x)
Residuals:
Min 1Q Median 3Q Max
-0.32220 -0.14473 -0.06664 0.02184 1.35978
Coefficients:
> anova(fitted.results)
Analysis of Variance Table
Response: y
--------------------------------------------------------------------------------------
The parts below coefficients of summary() and the parts below response of
anova() were missing. I have tried on another two computers with older
versions(2.6,2.6,2) and the problem still exist. Please help me, thanks!
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