Question
In: Statistics and Probability
Suppose you want to model the linear relationship between calories and total fat in 8 randomly...
- Suppose you want to model the linear relationship between calories and total fat in 8 randomly selected McDonalds breakfast items. The following table lists the item, that item’s number of calories and the total fat:
|
Item |
McMuffin |
Bacon Egg & Cheese Bagel |
Big Breakfast |
Cinnamon Melts |
Egg White Delight |
Fruit & Oatmeal |
Sausage Biscuit |
Steak & Egg McMuffin |
|
Calories (x) |
300 |
620 |
640 |
460 |
250 |
290 |
430 |
430 |
|
Total Fat (y) |
13 |
31 |
37 |
19 |
8 |
4 |
27 |
23 |
- (4 points) Find the slope for the Least-Squares regression equation for predicting the total fat of a McDonalds breakfast item based on its calories.
- (4 points) Find the y-intercept for the Least-Squares regression equation for predicting the total fat of a McDonalds breakfast item based on its calories.
- (2 points) What is the Least-Squares regression equation using answers (a) and (b)?
- (5 points) Calculate and interpret the coefficient of determination for these data.
Solutions
Expert Solution
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orchestra answered 2 years agoRelated Solutions
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