# We use the form = + bx for the least-squares line. In some computer printouts, the least-squares equation is not given directly. Instead, the value of the constant is given, and the coefficient b of the explanatory

We use the form ŷ = α + bx for the least-squares line. In some computer printouts, the least-squares equation is not given directly. Instead, the value of the constant α is given, and the coefficient b of the explanatory or predictor variable is displayed. Sometimes α is referred to as the constant, and sometimes as the intercept. Data from Climatology Report No. 77-3 of the Department of Atmospheric Science, Colorado State University, showed the following relationship between elevation (in thousands of feet) and average number of frost-free days per year in Colorado locations. A Minitab printout provides:
Notice that “Elevation” is listed under “Predictor.” This means that elevation is the explanatory variable x. Its coefficient is the slope b. “Constant” refers to a in the equation ŷ = α + bx
(a) Use the printout to write the least-squares equation.
(b) For each 1000-foot increase in elevation, how many fewer frost-free days are predicted?
(c) The printout gives the value of the coefficient of determination r2. What is the value of r? Be sure to give the correct sign for r based on the sign of b.
(d) Interpretation What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained?

## This problem has been solved!

Related Book For 