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In R console (or S-plus commands), i wrote-
>x <- c(104.1, 106.6, 105.5, 107.5, 109.6, 113.3, 115.5, 117.7,
119.9, 122.1, 124.3, 126.5, 128.2)
>y <- c(53732, 52912, 57005, 61354, 67682, 71602, 71961, 75309,
82931, 93310, 102161, 103068, 108927)
> summary ( lm ( formula = y ~ x ) )
_________________________
And the result was-
_________________________
Call:
lm(formula = y ~ x)
Residuals:
Min 1Q Median 3Q Max
-6902 -3997 1070 2603 4906
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -186075.0 16047.4 -11.60 1.65e-07 ***
x 2279.4 138.7 16.44 4.33e-09 ***
---
Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
Residual standard error: 4020 on 11 degrees of freedom
Multiple R-Squared: 0.9609, Adjusted R-squared: 0.9573
F-statistic: 270.2 on 1 and 11 DF, p-value: 4.332e-009
_________________________
Can anyone tell me what are the "Signif. codes"? I think i need a bit
explanation about specifically each of them. Also what does those " *
" mean?
Also, is there any direct command to predict y for x = 110?
_______________________
Mohammad Ehsanul Karim <[EMAIL PROTECTED]>
Institute of Statistical Research and Training
University of Dhaka, Dhaka- 1000, Bangladesh
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