Interpreting Output

Learning Objectives

  • R

  • Python

  • Julia

  • SPSS

  • Stata

  • SAS

  • Excel

  • Minitab

Software

R

Python

Julia

SAS

Stata

SPSS

Excel

Minitab

R

Output

#> 
#> Call:
#> lm(formula = body_mass_g ~ flipper_length_mm)
#> 
#> Residuals:
#>      Min       1Q   Median       3Q      Max 
#> -1058.80  -259.27   -26.88   247.33  1288.69 
#> 
#> Coefficients:
#>                    Estimate Std. Error t value Pr(>|t|)    
#> (Intercept)       -5780.831    305.815  -18.90   <2e-16 ***
#> flipper_length_mm    49.686      1.518   32.72   <2e-16 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 394.3 on 340 degrees of freedom
#>   (2 observations deleted due to missingness)
#> Multiple R-squared:  0.759,  Adjusted R-squared:  0.7583 
#> F-statistic:  1071 on 1 and 340 DF,  p-value: < 2.2e-16

Python

Output

Julia

Output

SAS

Output

Stata

Output

SPSS

Output

Excel

Output

Minitab

Output