A survey of high school students on Y = whether the subject has driven a motor vehicle after consuming a substantial amount of alcohol (1 = yes), s female), r = race (1 = black; 0 = white), and g = grade (81 = 1, grade 9; 82 = 1, grade 10; g3 = 1, grade 11; g¡ = g2 = 83 = 0, grade 12) has prediction equation %3D = sex (1 %3D %3D %3D logit[ P(Y = 1)} = -0.88 – 0.40s – 0.72r – 2.22gi – 1.43g2 – 0.58g3
A survey of high school students on Y = whether the subject has driven a motor vehicle after consuming a substantial amount of alcohol (1 = yes), s female), r = race (1 = black; 0 = white), and g = grade (81 = 1, grade 9; 82 = 1, grade 10; g3 = 1, grade 11; g¡ = g2 = 83 = 0, grade 12) has prediction equation %3D = sex (1 %3D %3D %3D logit[ P(Y = 1)} = -0.88 – 0.40s – 0.72r – 2.22gi – 1.43g2 – 0.58g3
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
Related questions
Question
![5.20 A survey of high school students on Y = whether the subject has driven a motor
vehicle after consuming a substantial amount of alcohol (1 = yes), s = sex (1 =
female), r = race (1 = black; 0 = white), and g = grade (g1 = 1, grade 9; g2 = 1,
grade 10; g3 = 1, grade 11; g1 =
82 = 83 = 0, grade 12) has prediction equation
logit[ P(Y = 1)] = -0.88 – 0.40s – 0.72r – 2.22g¡ – 1.43g2 – 0.58g3
%3D
+0.74(r x g1) + 0.38(r × g2) +0.01(r x g3).
Carefully interpret effects. Explain the interaction by describing the race effect at
each grade and the grade effect for each race.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F75c04003-2592-4c45-906d-36c8a60590bf%2Feed23bd0-d0ce-44ad-95e3-1cdbcf6fc784%2Fyl6mxox_processed.png&w=3840&q=75)
Transcribed Image Text:5.20 A survey of high school students on Y = whether the subject has driven a motor
vehicle after consuming a substantial amount of alcohol (1 = yes), s = sex (1 =
female), r = race (1 = black; 0 = white), and g = grade (g1 = 1, grade 9; g2 = 1,
grade 10; g3 = 1, grade 11; g1 =
82 = 83 = 0, grade 12) has prediction equation
logit[ P(Y = 1)] = -0.88 – 0.40s – 0.72r – 2.22g¡ – 1.43g2 – 0.58g3
%3D
+0.74(r x g1) + 0.38(r × g2) +0.01(r x g3).
Carefully interpret effects. Explain the interaction by describing the race effect at
each grade and the grade effect for each race.
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