b) Following regression output is based on a sample of 30 farms where Y = output of riceper acre in tonnes and X = quantity of manure applied per acre in kgs.= 384.105 + 3.67X¡se = (151.54)(1.00)RSS = 6776Construct a 95% confidence interval for mean output when 8kg of manure is applied giventhat the sample average of manure applied per acre is 5kgs.

RSS : residuals sum of squares.

b) Following regression output is based on a sample of 30 farms where Y = output of rice per acre in tonnes and X = quantity of manure applied per acre in kgs. Pi = 384.105 + 3.67X; se = (151.54) (1.00) %3D RSS = 6776 Construct a 95% confidence interval for mean output when 8kg of manure is applied given that the sample average of manure applied per acre is 5kgs.

b) Following regression output is based on a sample of 30 farms where Y = output of rice per acre in tonnes and X = quantity of manure applied per acre in kgs. Pi = 384.105 + 3.67X; se = (151.54) (1.00) %3D RSS = 6776 Construct a 95% confidence interval for mean output when 8kg of manure is applied given that the sample average of manure applied per acre is 5kgs.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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