The 19 nonmissing precipitation values in Table A.3 can be used to fit the regression equation: ln=(Precipitation) + 1 mm = 499:4 -0:512(Pressure) + 0:796(Temperature) The MSE for this regression is...

The 19 nonmissing precipitation values in Table A.3 can be used to fit the regression equation: ln=(Precipitation) + 1 mm = 499:4 -0:512(Pressure) + 0:796(Temperature)

The MSE for this regression is 0.701. (The constant 1 mm has been added to ensure that the logarithm is defined for all data values.)

a. Estimate the missing precipitation value for 1956 using this equation.

b. Construct a 95% prediction interval for the estimated 1956 precipitation.