Answer:
The predicted calories would be 403 calories.
Step-by-step explanation:
We have a linear regression model relating y: calories with x: carbohydrates, which has a slope of 4.0 and a y-intercept of 3.0.
Then, the model equation is:

With these model we can predict the calories values for any amount of carbohydrates, within the interval within which this model is valid.
If a new food is tested, and the number of carbohydrates (x) is 100, the predicted value will be:

The predicted calories would be 403 calories.
Answer:
p² -16pq + 36q²
Step-by-step explanation:
Given
(-
p + 6q)²
= (-
p + 6q)(-
p + 6q)
Each term in the second factor is multiplied by each term in the first factor, that is
-
p(-
p + 6q) + 6q(-
p + 6q)
=
p² - 8pq - 8pq + 36q² ← collect like terms
=
p² - 16pq + 36q²
is this a school qustion? if not
cool me too
800+4000+194
800+4000=4800
4800+194=4994
answer:4994