I also send a private posting here. Thanks to Rashid Nassar for his
help! I appreciate it very much.
At 03:18 PM 6/24/03 -0400, you wrote:
On Tue, 24 Jun 2003, Mohammad Ehsanul Karim wrote:
> _________________________
> 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?
The line under the table of coefficients explains them, e.g., ***
indicates a p-value between 0 and 0.001, and so on.
I have in my .Rprofile the following line to remove the (to me)
distracting "Signif. codes"
options(show.signif.stars = FALSE)
> Also, is there any direct command to predict y for x = 110?
see ?predict.lm
You can do, e.g.,
> new <- data.frame(x = c(100,110,120))
> predict(f1, new)
1 2 3
41865.37 64659.40 87453.44
I hope this helps.
Rashid Nassar
_______________________
Mohammad Ehsanul Karim <[EMAIL PROTECTED]>
Institute of Statistical Research and Training
University of Dhaka, Dhaka- 1000, Bangladesh
_______________________
.
.
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