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Jun 15th, 2019
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  1. m2 = lm(area.no.alaska$farm.area ~ area.no.alaska$land.area)
  2. m4 = lm(farm.area ~ land.area, data = area.no.al.tx)
  3.  
  4. Call:
  5. lm(formula = farm.area ~ land.area, data = area.no.al.tx)
  6.  
  7. Residuals:
  8. Min 1Q Median 3Q Max
  9. -41309 -8736 -1784 4361 36054
  10.  
  11. Coefficients:
  12. Estimate Std. Error t value Pr(>|t|)
  13. (Intercept) -569.41436 4310.67726 -0.132 0.895
  14. land.area 0.46526 0.06404 7.266 0.00000000365 ***
  15. ---
  16. Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  17.  
  18. Residual standard error: 16300 on 46 degrees of freedom
  19. Multiple R-squared: 0.5344, Adjusted R-squared: 0.5242
  20. F-statistic: 52.79 on 1 and 46 DF, p-value: 0.000000003646
  21. ```
  22.  
  23. Call:
  24. lm(formula = area.no.alaska$farm.area ~ area.no.alaska$land.area)
  25.  
  26. Residuals:
  27. Min 1Q Median 3Q Max
  28. -50695 -8712 -228 7825 49354
  29.  
  30. Coefficients:
  31. Estimate Std. Error t value Pr(>|t|)
  32. (Intercept) -8365.76964 4367.14590 -1.916 0.0615 .
  33. area.no.alaska$land.area 0.62171 0.05716 10.877 1.98e-14 ***
  34. ---
  35. Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  36.  
  37. Residual standard error: 18620 on 47 degrees of freedom
  38. Multiple R-squared: 0.7157, Adjusted R-squared: 0.7096
  39. F-statistic: 118.3 on 1 and 47 DF, p-value: 1.981e-14
  40. ```
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