Consider a linear regression model where y represents the response variable and x, d₁, and d2 are the predictor variables. Both dy and da are dummy variables, each assuming values 1 or 0. A regression model with x, d₁, d2, and didy, where did is the interaction variable, is estimated as -1.340.82x 3.08d1 - 1.2002 0.58dydy.. a-1. Compute y for x 5,d₁ 1, and d₂0. Note: Round your answer to 2 decimal places. a-2. Compute y for x-5, dy 1, and dy 1. Note: Round your answer to 2 decimal places. b-1. Compute for x-5, d₁0, and d₂ - 0. Note: Round your answer to 2 decimal places.
Consider a linear regression model where y represents the response variable and x, d₁, and d2 are the predictor variables. Both dy and da are dummy variables, each assuming values 1 or 0. A regression model with x, d₁, d2, and didy, where did is the interaction variable, is estimated as -1.340.82x 3.08d1 - 1.2002 0.58dydy.. a-1. Compute y for x 5,d₁ 1, and d₂0. Note: Round your answer to 2 decimal places. a-2. Compute y for x-5, dy 1, and dy 1. Note: Round your answer to 2 decimal places. b-1. Compute for x-5, d₁0, and d₂ - 0. Note: Round your answer to 2 decimal places.
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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