The article "The Influence of Temperature and Sunshine on the Alpha-Acid Contents of Hops"† reports the following data on yield (y), mean temperature over the period between date of coming into hops and date of picking (x1), and mean percentage of sunshine during the same period (x2) for the Fuggle variety of hop:

x1 x2 y
16.7 30 210
17.4 42 110
18.4 47 103
16.8 47 103
18.9 43 91
17.1 41 76
17.3 48 73
18.2 44 70
21.3 43 68
21.2 50 53
20.7 56 45
18.5 60 31

Here is partial Minitab output from fitting the first-order model Y = ß0 + ß1x1 + ß2x2 + e used in the article:
Predictor Coef StDev t-ratio p
Constant 415.11 82.52 5.03 0
Temp -6.593 4.859 -1.36 0.208
Sunshine -4.504 1.071 -4.20 0.002

s = 24.45 R-sq = 76.8% R-sq(adj) = 71.6%

(a) What is Y · 17.3, 48, and what is the corresponding residual, e? (Round your answers to four decimal places.)
Y · 17.3, 48 = 84.8591
e = -11.8591

b) Test H0: ß1 = ß2 = 0 versus Ha: either ß1 or ß2 ? 0 at level 0.05.
State the rejection region and compute the test statistic value. Round your answers to two decimal places.
rejection region f = 4.26
test statistic f = 14.90

(c) The estimated standard deviation of 0 + 1x1 + 2x2 when x1 = 17.3 and x2 = 48 is 10.13. Use this to obtain a 95% CI for µY · 17.3, 48. (Round your answers to two decimal places.)
( , )

(d) Use the information in part (c) to obtain a 95% PI for yield in a future experiment when x1 = 17.3 and x2 = 48. (Round your answers to two decimal places.)
( , )