Consider the accompanying set of dependent and independent variables. The variable x3 is qualitative with H = High, M = Medium, and L=Low. Complete parts a and b below. Click the icon to view the set of variables. a. Using technology, construct a regression model using all three independent variables. (Let variable Cond1 be one of the dummy variables for x3 and label it x3 in the equation. Assign a 1 to High for this variable. Let Cond2 be another dummy variable for x3 and label it x4 in the equation. Assign a 1 to Medium for this variable.) Complete the regression equation for the model below, where x3 represents the dummy variable Cond1, and X4 represents the dummy variable Cond2. ŷ=+x₁ + x₂ + x3 + x4 (Round to three decimal places as needed.)
Consider the accompanying set of dependent and independent variables. The variable x3 is qualitative with H = High, M = Medium, and L=Low. Complete parts a and b below. Click the icon to view the set of variables. a. Using technology, construct a regression model using all three independent variables. (Let variable Cond1 be one of the dummy variables for x3 and label it x3 in the equation. Assign a 1 to High for this variable. Let Cond2 be another dummy variable for x3 and label it x4 in the equation. Assign a 1 to Medium for this variable.) Complete the regression equation for the model below, where x3 represents the dummy variable Cond1, and X4 represents the dummy variable Cond2. ŷ=+x₁ + x₂ + x3 + x4 (Round to three decimal places as needed.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 4SGR
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