Home-work 3: Stat 530 solved

Description

Use the following data HW_3_2020 to answer the following questions:

We are interested in modeling Calories consumed using the predictors

.

1. Fit the data and find estimates of the partial slopes.
2. Test for the significance of the slopes.
3. What is the sequential effect (extra sums of squares)
4. What is partial sum of squares?
5. Do the relevant diagnostics.
6. Is this a good model?

7. Comment on the following statements saying if it is TRUE or FALSE with reason:

1. The best measure for model selection is the Adjusted R-square.
2. Partial sums of squares are more useful than sequential sums of squares.
3. If we have a categorical variable with 4 categories we will need 4 dummy variables to model this.