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:
(x,y)=(-1,-4)
Step-by-step explanation:
y=–3x–7
y=x–3
(y=)-3x-7=x-3
-3x-x=-3+7
-4x=4
x=4/(-4)
x=-1
y=x-3
y=-1-3
y=-4
(x,y)=(-1,-4)
-7 1/8 < -7 1/2 is the answer
Answer:
It’s D
Step-by-step explanation:
Because you have two sides that are congruent and an angle giving you SAS
Answer:
8x² + 8
Step-by-step explanation:
Given
(x² + 3)² - (x² - 1)² ← expand both factors using FOIL
=
+ 6x² + 9 - (
- 2x² + 1) ← distribute by - 1
=
+ 6x² + 9 -
+ 2x² - 1 ← collect like terms
= 8x² + 8