Computational Statistics

SIMULTANEOUS INFERENCE 89

The summary as a linear model gives t-tests for the individual coefficients.

Input

summary(lmres)

Output

Call:

lm(formula = y ~ 0 + Tmt, data = s35)

Residuals:

Min 1Q Median 3Q Max

-0.084833 -0.016354 0.009125 0.022729 0.073083

Coefficients:

Estimate Std. Error t value Pr(>|t|)

TmtA 0.19383 0.01035 18.73 <2e-16 ***

TmtB 0.24892 0.01035 24.06 <2e-16 ***

TmtC 0.23783 0.01035 22.99 <2e-16 ***

TmtD 0.24117 0.01035 23.31 <2e-16 ***

TmtE 0.24392 0.01035 23.57 <2e-16 ***

TmtF 0.23558 0.01035 22.77 <2e-16 ***

TmtG 0.22367 0.01035 21.62 <2e-16 ***

---

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.03584