1. Try a first regression:  start R (RGui) and the follow instructions.  Toluca-dataset. 
2. Try a regression starting from Excel data: IjseRegression.
3. The extended Anscombe data-set or pitfalls for blind computerprogrammes.
4. Calculate prediction and confidence lines for a regression and plot the results.
5. General linear test applied to testing the intercept.
6. Example with a logarithmic transformation of Y: Blanching of vegetables at 90 degrees
7. Lack of fit test and polynomial regression on photosynthesis data
8. Multiple linear regression on the pharmacy dataset with stepwise regression
9. Multiple linear regression on the tomato dataset with quadratic term and possible interaction
10. Illustration of a matrix approach for multiple linear regression

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