r.r 668 B

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  1. Call:
  2. lm(formula = y ~ x)
  3. Residuals:
  4. 1 2 3 4 5 6
  5. 3.3333 -0.6667 -2.6667 -2.6667 -0.6667 3.3333
  6. Coefficients:
  7. Estimate Std. Error t value Pr(>|t|)
  8. (Intercept) -9.3333 2.8441 -3.282 0.030453 *
  9. x 7.0000 0.7303 9.585 0.000662 ***
  10. ---
  11. Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  12. Residual standard error: 3.055 on 4 degrees of freedom
  13. Multiple R-squared: 0.9583, Adjusted R-squared: 0.9478
  14. F-statistic: 91.88 on 1 and 4 DF, p-value: 0.000662
  15. > par(mfrow=c(2, 2)) # Request 2x2 plot layout
  16. > plot(lm_1) # Diagnostic plot of regression model