9.1. I revised this question, so please follow my description only. Conduct ANOVA (analysis of variance) and Regression coefficients to the data from cystfibr (> data (" cystfibr ") database. You can choose any variable you like. in your report, you need to state the result of Coefficients (intercept) to any variables you like both under ANOVA and multivariate analysis. I am specifically looking at your interpretation of R results.

Extra clue: The model code: i. lm(formula = cystfiber$spemax ~ age + weight + bmp + fev1, data=cystfiber) ii. anova(lm(cystfibr$spemax ~ age + weight + bmp + fev1, data=cystfiber))

9.2 The secher data (> data("secher") are best analyzed after log-transforming birth weight as well as the abdominal and biparietal diameters. Fit a prediction weight as well as abdominal and biparietal diameters. For a prediction equation for birth weight. How much is gained by using both diameters in a prediction equation? The sum of the two regression coefficients is almost identical and equal to 3. Can this be given a nice interpretation to our analysis? Please provide step by step on your analysis and code you use to find out the result.

Extra clue:

Model10 <-lm(log(bwt))~I(log(ad)), data=secher summary(model10)