Use two indicator (dummy) variables to code the forest. Let 'indicator2' be 1 for forest 2, and O otherwise, let 'indicator3' be 1 for forest 3 and 0 otherwise. With this coding, the logisitic regression model will use the intercept for forest 1, the intercept plus the coefficient of the first indicator variable for forest 2, and the intercept plus the coefficient of the second indicator variable for forest 3. Include at least 3 decimals of precision (a) Run the multiple logistic regression. Give the coefficient estimates here: log- odds(gambling) = "indicator2 + "indicator3 (b) What are the log-odds for tar spot in Forest 1? (c) What are the log-odds for tar spot in Forest 2? (d) What are the log-odds for tar spot in Forest 3?

Use two indicator (dummy) variables to code the forest. Let 'indicator2' be 1 for forest 2, and O otherwise, let 'indicator3' be 1 for forest 3 and 0 otherwise. With this coding, the logisitic regression model will use the intercept for forest 1, the intercept plus the coefficient of the first indicator variable for forest 2, and the intercept plus the coefficient of the second indicator variable for forest 3. Include at least 3 decimals of precision (a) Run the multiple logistic regression. Give the coefficient estimates here: log- odds(gambling) = "indicator2 + "indicator3 (b) What are the log-odds for tar spot in Forest 1? (c) What are the log-odds for tar spot in Forest 2? (d) What are the log-odds for tar spot in Forest 3?

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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