A survey of high school students was done to examine whether students had ever driven a car after consuming a substantial amount of alcohol (1=yes, 0=no). Data was collected on their sex (male/female), race (White/non-White), and grade level (9,10,11,12). Researchers realized that the impact of race on consuming alcohol before driving might vary by grade level and decided to fit the following model.VariableCoding = 1 ifIntercept Sex ()FemaleRace ()BlackGrade level (9th grade10th grade11th grade[Reference = 12th grade] Attached is the logistic model 1. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 9th grade, adjusting for gender.2. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 12th grade, adjusting for gender.3. Compute the OR of drinking before driving for someone in the 9th grade versus 12th grade for a student who self-reported as Black, adjusting for gender. logit (î;) = −0.88 – 0.40X₁ — 0.72X2 — 2.22X3 — 1.43X4 — 0.58X5 +0.74X₂X3+0.38X₂X4 +0.01X₂X5

The logistic regression model is given by:…

A survey of high school students was done to examine whether students had ever driven a car after consuming a substantial amount of alcohol (1=yes, 0=no). Data was collected on their sex (male/female), race (White/non-White), and grade level (9,10,11,12). Researchers realized that the impact of race on consuming alcohol before driving might vary by grade level and decided to fit the following model. Variable Coding = 1 if Intercept Sex () Female Race () Black Grade level ( 9th grade 10th grade 11th grade [Reference = 12th grade]

A survey of high school students was done to examine whether students had ever driven a car after consuming a substantial amount of alcohol (1=yes, 0=no). Data was collected on their sex (male/female), race (White/non-White), and grade level (9,10,11,12). Researchers realized that the impact of race on consuming alcohol before driving might vary by grade level and decided to fit the following model. Variable Coding = 1 if Intercept Sex () Female Race () Black Grade level ( 9th grade 10th grade 11th grade [Reference = 12th grade]

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.6: Exponential And Logarithmic Equations

Problem 40E

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Question

A survey of high school students was done to examine whether students had ever driven a car after consuming a substantial amount of alcohol (1=yes, 0=no). Data was collected on their sex (male/female), race (White/non-White), and grade level (9,10,11,12). Researchers realized that the impact of race on consuming alcohol before driving might vary by grade level and decided to fit the following model.

Variable	Coding = 1 if
Intercept
Sex ()	Female
Race ()	Black
Grade level (	9^th grade 10^th grade 11^th grade [Reference = 12^th grade]

Attached is the logistic model

1. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 9^th grade, adjusting for gender.

2. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 12^th grade, adjusting for gender.

3. Compute the OR of drinking before driving for someone in the 9^th grade versus 12^th grade for a student who self-reported as Black, adjusting for gender.