The GPA is 3.125 who studies for 15 hours a week if the line of the best fit is y=0.149x+0.89
A mathematical notion called the line of the best fit connects points spread throughout a graph. It's a type of linear regression that uses scatter data to figure out the best way to define the dots' relationship.
We have a line of best fit:
y = 0.149x + 0.89
Plug x = 15 hours
y = 0.149(15) + 0.89
y = 3.125
Thus, the GPA is 3.125 who studies for 15 hours a week if the line of the best fit is y=0.149x+0.89
Learn more about the line of best fit here:
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Answer:
The predicted GPA is then y = 0.149(15) + 0.89 = 3.125
Step-by-step explanation:
Although you don't specifically say so, the equation you provide here is probably a "best fit" equation based upon data: GPA versus number of hours of study per week.
Here, y = 0.149x + 0.89 and the number of study hours of interest is 15.
The predicted GPA is then y = 0.149(15) + 0.89 = 3.125
Answer:
2x^2-x+1
Step-by-step explanation:
Answer:
2x² - x + 1
Step-by-step explanation:
Answer:
Step-by-step explanation:
ms+mv=r --> m(s+v)=r --> m= r/(s+v)
Answer:
Step-by-step explanation:
r=−mv, s
=0, M=−
s
mv
, m∈R, v∈R
r=0, s=0, M∈R, m=0, v∈R
r=0, s=0, M∈R, m∈R, v=0
Answer:
the size of angle F₂ is 156°, the size of angle G is 156°, and the size of angle EFG is 24°.
Step-by-step explanation:
hope it helped , darling .
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Answer:
10x² - 48y² - 11x + 2y - 74xy
Step-by-step explanation:
(-x+8y)+(-10x-6y)(−x+8y)+(−10x−6y)
Rearranging,
=> - x - 10 x + 8y - 6y + (-10x-6y)(−x+8y)
=> - 11x + 2y + 10x² - 48y² + 6xy - 80xy
=> 10x² - 48y² - 11x + 2y - 74xy