## multiple regression? [General Statistics]

Hi ElMaestro,

nice setup. Given

» […] a lot of knobs and buttons and sliders that allow me to tweak combinations of:

» - Tesla coil zap modifier strength

» - Evil discharge combobulator intensity

» - Ion stream barbaric voltage gain

» - Apocalyptic wolfram anode ray modulation

» ...and so forth.

I’m I right that you are aiming at multiple regression (i.e., >1 regressor and and one regressand)? See there for an arsenal of methods. For the

nice setup. Given

» […] a lot of knobs and buttons and sliders that allow me to tweak combinations of:

» - Tesla coil zap modifier strength

» - Evil discharge combobulator intensity

» - Ion stream barbaric voltage gain

» - Apocalyptic wolfram anode ray modulation

» ...and so forth.

I’m I right that you are aiming at multiple regression (i.e., >1 regressor and and one regressand)? See there for an arsenal of methods. For the

*same*number of regressors the adjusted R^{2}takes the number of data points into account.`x1 <- rnorm(10)`

y1 <- x1*2+rnorm(10, 0, 0.1)

muddle1 <- lm(y1 ~ x1)

R2.adj1 <- summary(muddle1)$adj.r.squared

x2 <- x1[-1] # drop 1

y2 <- y1[-1] # drop 1

muddle2 <- lm(y2 ~ x2)

R2.adj2 <- summary(muddle2)$adj.r.squared

cat(R2.adj1, R2.adj2, "\n")

—

All the best,

Helmut Schütz

The quality of responses received is directly proportional to the quality of the question asked. ☼

Science Quotes

All the best,

Helmut Schütz

The quality of responses received is directly proportional to the quality of the question asked. ☼

Science Quotes

### 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+b - ElMaestro, 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+b - ElMaestro, 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