# Ungraded part in R-11 - SSE= 0.1743 Multiple R-squared...

This preview shows page 1. Sign up to view the full content.

Ungraded part in R > x<-c(20,40,60,80) > y<-c(.24, 1.20, 1.71, 2.22) > z<-lm(y~x) > summary(z) Call: lm(formula = y ~ x) Residuals: 1 2 3 4 -0.135 0.180 0.045 -0.090 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.270000 0.213454 -1.265 0.3333 x 0.032250 0.003897 8.275 0.0143 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.1743 on 2 degrees of freedom
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: SSE= 0.1743 Multiple R-squared: 0.9716, Adjusted R-squared: 0.9574 F-statistic: 68.48 on 1 and 2 DF, p-value: 0.01429 Interpretation: First column: Estimated regression line y=Bo + B1x y= -0.270000 + 0.032250x Second column: Estimated Error For Bo s =0.213454 For B1 s =0.003897 Third Column: t-value (graph) Fourth Column: Pr(>|t|) ≤ 0.0143 * (significance level)...
View Full Document

## This note was uploaded on 04/29/2008 for the course STAT 1211 taught by Professor Hernandez during the Spring '08 term at Columbia.

Ask a homework question - tutors are online