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
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.
[tex]\rm m = \dfrac{n\sum xy-\sum x \sum y}{n\sum x^2 - (\sum x)^2}\\\\\rm c = \dfrac{\sum y -m \sum x}{n}[/tex]
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:
brainly.com/question/14279419
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