A GLM was used to estimate the expected losses per customer across gender and driver type. There are two categories for driver type: Commute and Leisure. The log link function was used, and Male and Commute were the base levels for Gender and Driver type, respectively. There are no interaction terms in the model. The GLM produced the following predicted values for expected loss per customer: Commute Leisure Male 4.52 4.5 Female 33 181 Calculate the estimated B for the Gender variable.

A GLM was used to estimate the expected losses per customer across gender and driver type. There are two categories for driver type: Commute and Leisure. The log link function was used, and Male and Commute were the base levels for Gender and Driver type, respectively. There are no interaction terms in the model. The GLM produced the following predicted values for expected loss per customer: Commute Leisure Male 4.52 4.5 Female 33 181 Calculate the estimated B for the Gender variable.

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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