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madhur
2019 May 25
3
Increasing number of observations worsen the regression model
I have the following code:
```
rm(list=ls())
N = 30000
xvar <- runif(N, -10, 10)
e <- rnorm(N, mean=0, sd=1)
yvar <- 1 + 2*xvar + e
plot(xvar,yvar)
lmMod <- lm(yvar~xvar)
print(summary(lmMod))
domain <- seq(min(xvar), max(xvar))??? # define a vector of x values to
feed into model
lines(domain, predict(lmMod, newdata = data.frame(xvar=domain)))??? #
add regression line, using
2019 May 27
0
[R] Increasing number of observations worsen the regression model
...hem differently-sized linear regression problems
> until you narrow it down to a specific set of calls to BLAS or LAPACK
> functions which Intel MKL provides.
>
> One option would be to ask at Intel MKL forums[**].
>
> --
> Best regards,
> Ivan
>
> [*]
> https://madrury.github.io/jekyll/update/statistics/2016/07/20/lm-in-R.html
>
> [**] https://software.intel.com/en-us/forums/intel-math-kernel-library/
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch...