just y=ax+b [General Statistics]
Hi again,
and thanks for looking into it.
It is as simple as this:
I would like to know how to judge if the correlation is quantitatively appearing to be best for the first line or for the second line.
and thanks for looking into it.
It is as simple as this:
x1=c(1,2,3,4,5)
y1=c(10.5, 11.4, 12.6, 13.3, 14.6)
x2=c(1,2,3,4,5)
y2=c(10.3, 11.4, NA, 13.5, 14.6)
L1=lm(y1~x1)
L2=lm(y2~x2)
summary(L1)
summary(L2)
I would like to know how to judge if the correlation is quantitatively appearing to be best for the first line or for the second line.
—
Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
Complete thread:
- Goodness of fits: one model, different datasets ElMaestro 2017-10-06 23:01 [General Statistics]
- Goodness of fits: one model, different datasets nobody 2017-10-07 16:03
- Experimental setup, details ElMaestro 2017-10-07 18:06
- Visualization ElMaestro 2017-10-07 19:07
- multiple regression? Helmut 2017-10-08 17:17
- just y=ax+b ElMaestro 2017-10-08 17:30
- just y=ax+b Helmut 2017-10-08 17:35
- just y=ax+bElMaestro 2017-10-08 17:50
- just y=ax+b nobody 2017-10-08 20:26
- ANCOVA with R? yjlee168 2017-10-08 21:28
- just y=ax+b DavidManteigas 2017-10-09 10:34
- just y=ax+b nobody 2017-10-09 10:45
- just y=ax+b Helmut 2017-10-10 18:15
- just y=ax+bElMaestro 2017-10-08 17:50
- just y=ax+b Helmut 2017-10-08 17:35
- just y=ax+b ElMaestro 2017-10-08 17:30
- Experimental setup, details ElMaestro 2017-10-07 18:06
- Goodness of fits: one model, different datasets nobody 2017-10-07 16:03