A linear regression model is expressed as y ≈ β0+ β1x where β0 is the intercept and β1 is the slope of the line). The following equations can be used to compute the value of the coefficients β 0 and β1.
Using the following set of data, find the coefficients β 0 and β1rounded to the nearest thousandths place and the predicted value of y when x is 10.
{(-1 , 0),(0 , 2),(1 , 4),(2 , 5)}
What is the value of β0.
The correct answer is: 1.9
