Which of the following scenarios is most appropriate for applying simple linear regression?
Question 2
Given two points $(x_1, y_1)$ and $(x_2, y_2)$, the formula for the y-intercept $(b)$ of the line passing through them is:
Question 3
If a linear regression model yields the equation $y = 0.75x + 15$, what is the predicted value of $y$ when $x = 20$?
Question 4
A linear regression model is used to predict a student's final exam score based on the number of hours they studied. If the slope of the regression line is $5$, what does this mean in the context of the problem?
Question 5
Consider a linear regression model where the independent variable is the number of ice cream cones sold and the dependent variable is the daily temperature. If the y-intercept is $-10$, what is the most appropriate interpretation?
