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 β0 and β1.
Using the following set of data, find the coefficients β0 and β1rounded to the nearest thousandths place and the predicted value of y when x is 10.
β0 = 1.9 β1 = 1.7 y = 18.9 when x is 10
The correct answer is β0 = 1.9, β1 = 1.7, y = 18.9
