Displaying 1 result from an estimated 1 matches for "mlm2".
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mlm
2012 Mar 16
1
multivariate regression and lm()
...0.4286
z1 2.0000 0.4472 4.472 0.0208 *
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.414 on 3 degrees of freedom
Multiple R-squared: 0.8696, Adjusted R-squared: 0.8261
F-statistic: 20 on 1 and 3 DF, p-value: 0.02084
> f.mlm2 = lm(y2 ~ z1, data=ex7.8); summary(f.mlm2)
Call:
lm(formula = y2 ~ z1, data = ex7.8)
Residuals:
1 2 3 4 5
-1.110e-16 -1.000e+00 1.000e+00 1.000e+00 -1.000e+00
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.0000...