Morning...
I am a new R user, and need to use linear regression using an excel file that has two columns
x | y |
---|---|
5,2 | 13 |
5,1 | 15 |
4,9 | 18 |
4,6 | 20 |
4,7 | 19 |
4,8 | 17 |
4,6 | 21 |
4,9 | 16 |
Have to find B0 B1,...
Morning...
I am a new R user, and need to use linear regression using an excel file that has two columns
x | y |
---|---|
5,2 | 13 |
5,1 | 15 |
4,9 | 18 |
4,6 | 20 |
4,7 | 19 |
4,8 | 17 |
4,6 | 21 |
4,9 | 16 |
Have to find B0 B1,...
Looks like a textbook example:
set.seed(1)
x <- sample(1:10)
y <- sample(31:40)
m <- lm(y ~ x, data= tibble::tibble(x, y) )
m$coefficients
#> (Intercept) x
#> 35.13333333 0.06666667
Created on 2019-09-10 by the reprex package (v0.3.0)
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