Asimple linear regression analysis was conducted to predict the exam 3 score of students in sta 2023 based on their exam 1 score. the analysis yielded the following results: y-hat = 50.57+0.4845x. the range of exam scores for both tests was about 30 points to 102 points. which of the following is the best description of the y-intercept of the line(if appropriate)? 1. when the exam 1 grade increases by 1 point, the exam 3 grade increases by 0.4845. 2. when the exam 1 grade increases by 1 point, the exam 3 grade increases by 50.57. 3. the expected exam 3 score for someone that made a 0 on exam 1 is a 50.57. 4. should not be interpreted.

Option 3) The expected Exam 3 score for someone that made a 0 on Exam 1 is a 50.57.            

Step-by-step explanation:

We are given the following in the question:

The above equation is a linear regression equation  to predict the Exam 3 score of students in STA 2023 based on their Exam 1 score.

: The dependent variable, Exam 3 score

x: The independent variable, Exam 1 score

Comparing to general linear equation,

We get,

m = 0.4845, c = 50.57

where

c is the y - intercept and the score in exam 3 when exam score is 0.

m is the slope and tells us about the rate of change.

When exam 1 grade is increased by 1, we can write,

Thus, the y-intercept for the given equation can be interpreted as

Option 3) The expected Exam 3 score for someone that made a 0 on Exam 1 is a 50.57.

idk the answer but just put a

step-by-step explanation: