Hello!

I was asked to comment on statistical robustness analysis in minitab, but honestly I don't know much about it. Can anyone help me interpreting the results?

This is what I have already written:
The residuals are normally distributed however they are slightly skewed to the right.

These are my results:

Regression Analysis: vertical_v versus temp

Analysis of Variance

Source DF Adj SS Adj MS F-Value P-Value
Regression 1 15057 15057.0 40068.51 0.000
temp 1 15057 15057.0 40068.51 0.000
Error 89998 33820 0.4
Lack-of-Fit 300 1267 4.2 11.64 0.000
Pure Error 89698 32552 0.4
Total 89999 48876


Model Summary

S R-sq R-sq(adj) R-sq(pred)
0.613009 30.81% 30.81% 30.80%


Coefficients

Term Coef SE Coef T-Value P-Value VIF
Constant -234.95 1.17 -200.20 0.000
Temp 0.76926 0.00384 200.17 0.000 1.00


Regression Equation

vertical_v = -234.95 + 0.76926 temp

Durbin-Watson Statistic

Durbin-Watson Statistic = 0.0384706