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Camille's math test included a survey question asking how many hours students spent studying for the test. The scatterplot and regression line below show the relationship between how many hours students spent studying and their score on the test.
The fitted line has a yyy-intercept of 373737.
What is the best interpretation of this yyy-intercept?
Choose 1 answer:
Choose 1 answer:

(Choice A)
A
The model predicts that the study time will increase 373737 hours for each additional point scored.

(Choice B)
B
The model predicts that the score will increase 373737 points for each additional hour of study time.

(Choice C)
C
The model predicts that a student who scored 000 points studied for 373737 hours.

(Choice D)
D
The model predicts that students who didn't study at all will have an average score of 373737 points.
A graph plots Score, from 0 to 90, in increments of 10, versus Study time, in hours, from 0 to 4.5, in increments of 0.5, on an x y plane. Dozens of points rise diagonally in a tight, narrow cluster between (1.8, 62) and (4.4, 95). A regression line rises diagonally through the center of the cluster from (0, 38) to (4.2, 100). All values estimated.

Respuesta :

Answer:

D

Step-by-step explanation:

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The model predicts that a student who didn't study at all will have an average score of 373737 hours. So, the correct option is option D.

What is linear regression?

Linear regression is a linear approach for modelling the relationship between a scalar response and one or more explanatory variables.

We know that the y-coordinates of the regression line y=mx+c are (0,c) depicting that c is the y-intercept, corresponding x-coordinate is 0.

So, the model predicts that a student who didn't study at all will have an average score of 373737 hours. So, the correct option is option D.

Thus, The model predicts that a student who didn't study at all will have an average score of 373737 hours. So, the correct option is option D.

To get more about linear regression visit:

https://brainly.com/question/25987747