The exercise involving data in this and subsequent sections were designed to be solved using Excel. In a regression analysis involving 30 observations, the following estimated regression equation was obtained. Enter negative values as negative numbers. ŷ = 17.6 + 3.8z1 – 2.3zz + 7.6x3 +2.74 a. Interpret b1, b2, b3, and b4 in this estimated regression equation. Assume that for each coefficient statement, the remaining three variables are held constant (to 1 decimal). 3.8 estimated change in y per 1 unit change in #1 b2 = -2.3 estimated change in y per 1 unit change in æ2 b3 7.6 estimated change in y per 1 unit change in #3 b4 = 2.7 estimated change in y per 1 unit change in #4 b. Estimate y when ¤1 = 10, x2 = 5, æz = 1, and #4 = 2. (to 1 decimal)
The exercise involving data in this and subsequent sections were designed to be solved using Excel. In a regression analysis involving 30 observations, the following estimated regression equation was obtained. Enter negative values as negative numbers. ŷ = 17.6 + 3.8z1 – 2.3zz + 7.6x3 +2.74 a. Interpret b1, b2, b3, and b4 in this estimated regression equation. Assume that for each coefficient statement, the remaining three variables are held constant (to 1 decimal). 3.8 estimated change in y per 1 unit change in #1 b2 = -2.3 estimated change in y per 1 unit change in æ2 b3 7.6 estimated change in y per 1 unit change in #3 b4 = 2.7 estimated change in y per 1 unit change in #4 b. Estimate y when ¤1 = 10, x2 = 5, æz = 1, and #4 = 2. (to 1 decimal)
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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