In: Statistics and Probability
An agribusiness performed a regression of wheat yield (bushels per acre) using observations on 22 test plots with four predictors (rainfall, fertilizer, soil acidity, hours of sun). The standard error was 1.18 bushels. |
(a) |
Find the approximate width of a 95% prediction interval for wheat yield. (Round your answer to 2 decimal places.) |
yˆiyi | ± |
(b) | Find the approximate width using the quick rule. (Round your answer to 2 decimal places.) |
yˆiyi | ± |
(c) | The quick rule gives a similar result. | ||||
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SOLUTION:
From given data,
An agribusiness performed a regression of wheat yield using observations on 22 test plots with four predictors . The standard error was 1.18 bushels.
n = Sample size = 22
se = standard error = 1.18 bushels
(a) Find the approximate width of a 95% prediction interval for wheat yield.
The approximate width of a 95% prediction interval for wheat yield is
= Yi t /2,n-1 * se
= Yi t 0.025,21 * 1.18
= Yi t 0.025,21 * 1.18
= Yi 2.413845 * 1.18
= Yi 2.8483371
Yi 2.8483371 |
(b) Find the approximate width using the quick rule.
the approximate width using the quick rule is
= width z/2 , * se where, z/2 = 1.96 for 95%
= width 1.96 * 1.18
= width 2.3128
width 2.3128 |
(c) The quick rule gives a similar result.
Answer : No.