Description
Use the following data HW_3_2020 to answer the following questions:
We are interested in modeling Calories consumed using the predictors
|
Weight |
Height |
Protein |
Carbohydrates |
Calcium |
gender |
.
- Fit the data and find estimates of the partial slopes.
- Test for the significance of the slopes.
- What is the sequential effect (extra sums of squares)
- What is partial sum of squares?
- Do the relevant diagnostics.
- Is this a good model?
- Comment on the following statements saying if it is TRUE or FALSE with reason:
- The best measure for model selection is the Adjusted R-square.
- Partial sums of squares are more useful than sequential sums of squares.
- If we have a categorical variable with 4 categories we will need 4 dummy variables to model this.
