Use R to analyze the data set which number corresponds to the last digit of your matricola:
1. Difference in weight for patients with anorexia after different treatments in anorexia dataset from MASS package.
2. Comparison of blood coagulation time among patients under different diets in coagulation dataset from faraway package.
3. Dependence of weight at birth (bwt) from mother's age (age), weight (lwt) and smoking attitude (smoke) in birthwt dataset from MASS package.
4. Dependence of carapace width (CW) from sex, accounting for carapace length (CL), of Australian crabs in crabs dataset from MASS package.
5. Yield of a petroleum refining process as a function of desired volatility gasoline (EP) and vapour pressure (VP) in petrol dataset from MASS package.
6. Effect of the style (g=Gothic, r=Romanesque) on the total length (y) of English medieval cathedrals, accounting for nave height (x) in cathedral dataset from faraway package.
7. Effect of density, age and weight on the percent body fat (brozek) in fat dataset from faraway package.
8. Dependence of ascorbic acid content (VitC) from weight (HeadWt), date (Date) and cultivar (Cult) in cabbages dataset from MASS package.
9. Effect of six diets on weight gain of domestic rabbits from 10 different litters in rabbit dataset from faraway package.
10. Effect of sexual activity and thorax length on longevity of fruitlyes in fruitfly dataset from faraway package.
The analysis should include:
1. A description of the data set
2. Preliminary analysis of the variables in the data set
3. Fit of an appropriate linear model (or ANOVA or ANCOVA) to data
4. Analysis of residuals
5. Conclusions
Report the main results with your comments in Latex, using Sweave package. The report should be no more than 5 pages long.