Pi = αo + α₁x₁ + α ₂²₁ + αzW₁ + Uj, for i = 1,...,93, where the individual variables are defined in the table below: Variable Description Pi Pounds per month for property i X₂ The apparent age of the property i Z₁ Wi Area per room in square meters of property i Distance in kilometres of property i to the nearest shopping centre The parameter estimates and their t-ratios are given in the following table: Variable Parameter estimate t-ratio Constant 60 23.45 Xi -43.12 -49.34 Z₁ 8.22 14.23 40 55 60 7
Pi = αo + α₁x₁ + α ₂²₁ + αzW₁ + Uj, for i = 1,...,93, where the individual variables are defined in the table below: Variable Description Pi Pounds per month for property i X₂ The apparent age of the property i Z₁ Wi Area per room in square meters of property i Distance in kilometres of property i to the nearest shopping centre The parameter estimates and their t-ratios are given in the following table: Variable Parameter estimate t-ratio Constant 60 23.45 Xi -43.12 -49.34 Z₁ 8.22 14.23 40 55 60 7
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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Using the estimation results, compute a 99% confidence interval for the coefficient on zi. Give an economic interpretation of the result.
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