Question 1
What does a linear regression model mainly do in a set of data points?
Question 2
In the linear model $y = mx + c$, what does the gradient $m$ represent?
Question 3
What does the $y$-intercept of a linear regression line represent?
Question 4
Which statement about a correlation coefficient of $r = 0.96$ is correct?
Question 5
If a regression line is used to predict a value far outside the range of the observed data, what is this called?
