An agribusiness performed a regression of wheat yield (bushels per acre) using observations on 29 test plots with four predictors (rainfall, fertilizer, soil acidity, hours of sun). The standard error was 1.22 bushels. |
(a) |
Find the approximate width of a 95% prediction interval for wheat yield. (Round your answer to 2 decimal places.) |
yˆiy^i | ± |
(b) | Find the approximate width using the quick rule. (Round your answer to 2 decimal places.) |
yˆiy^i | ± |
(c) | The quick rule gives a similar result. | ||||
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An agribusiness performed a regression of wheat yield (bushels per acre) using observations on 29 test...
A random sample of 20 acres gave a mean yield of wheat equal to 41.5 bushels per acre with a standard deviation of bushels. Assuming that the yield of wheat per acre is normally distributed, construct a 90% confidence interval for the population mean Round your answers to two decimal places. to i bushels per acre
A random sample of 6 fields of durum wheat has a mean yield of 25.0 bushels per acre and standard deviation of 7.89 bushels per acre. Determine the 99% confidence interval for the true mean yield. Assume the population is approximately normal. Step 1 of 2 : Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places.