multiple regression? [General Sta­tis­tics]

posted by Helmut Homepage – Vienna, Austria, 2017-10-08 19:17 (1998 d 14:26 ago) – Posting: # 17875
Views: 15,915

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 same number of regressors the adjusted R2 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")

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