1. For Marijuana Stigmatization regression equation in Table 3, a. Write the research question being analyzed | b. Write out the final estimated regression equation

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter4: Writing Linear Equations
Section4.5: Analyzing Lines Of Fit
Problem 25E
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Question
Predictor
(Constant)
Agea
Age 20-22
Age 23-25
Femaleb
Race/Ethnicity
Black
Hispanic/Latino
Asian American
Other
Lifetime Drug Use
Marijuana
Powder Cocaine
Ecstasy
Opioids
Amphetamine
Exposure to Usersd
R²
TABLE 3
Linear Regression Model Results Comparing Predictors of Stigmatization toward Users of Each Drug
Marijuana
Stigmatization
b
3.13***
-0.05
-0.09
0.02
0.12
0.00
0.04
0.16†
-0.56***
-0.06
-0.07
-0.14†
-0.05
-0.09***
0.36
(SE)
(0.08)
(0.05)
(0.07)
(0.04)
(0.07)
(0.06)
(0.06)
(0.08)
(0.05)
(0.07)
(0.08)
(0.07)
(0.07)
(0.01)
Powder Cocaine
Stigmatization
b
3.23***
-0.12+
-0.21*
-0.01
0.05
-0.11
-0.01
0.14
-0.29***
-0.17
-0.11
-0.14
0.10
-0.06***
0.18
(SE)
(0.07)
(0.05)
(0.08)
(0.05)
(0.08)
(0.07)
(0.07)
(0.10)
(0.06)
(0.09)
(0.09)
(0.08)
(0.09)
(0.01)
Ecstasy
Stigmatization
b
3.14***
-0.11
-0.20*
-0.01
0.05
-0.04
0.01
0.16
-0.36***
-0.12
-0.19+
-0.11
0.05
-0.05***
0.16
(SE)
(0.07)
(0.05)
(0.08)
(0.05)
(0.08)
(0.07)
(0.07)
(0.10)
(0.06)
(0.09)
(0.10)
(0.09)
(0.09)
(0.01)
Note; Comparison groups: ªAge 18-19, Male, "White. "Exposure to Users corresponds to level of stigmatization of the same drug.
*p < .05 (not significant due to Bonferroni correction), *p < .01, **p < .001,
*p < .0001.
Opioid
Stigmatization
b
3.20***
-0.12+
-0.24*
-0.04
0.05
-0.10
-0.02
0.07
-0.32***
0.02
0.03
-0.28*
-0.06
-0.05***
0.14
(SE)
(0.07)
(0.05)
(0.08)
(0.05)
(0.08)
(0.07)
(0.07)
(0.10)
(0.06)
(0.09)
(0.09)
(0.09)
(0.09)
(0.01)
Amphetamine
Stigmatization
b
3.22***
-0.13+
-0.22*
-0.05
0.05
-0.12
-0.07
0.10
-0.32***
-0.04
0.03
-0.28*
-0.11
-0.05***
0.15
(SE)
(0.07)
(0.05)
(0.08)
(0.05)
(0.08)
(0.07)
(0.07)
(0.10)
(0.06)
(0.09)
(0.09)
(0.09)
(0.09)
(0.01)
Transcribed Image Text:Predictor (Constant) Agea Age 20-22 Age 23-25 Femaleb Race/Ethnicity Black Hispanic/Latino Asian American Other Lifetime Drug Use Marijuana Powder Cocaine Ecstasy Opioids Amphetamine Exposure to Usersd R² TABLE 3 Linear Regression Model Results Comparing Predictors of Stigmatization toward Users of Each Drug Marijuana Stigmatization b 3.13*** -0.05 -0.09 0.02 0.12 0.00 0.04 0.16† -0.56*** -0.06 -0.07 -0.14† -0.05 -0.09*** 0.36 (SE) (0.08) (0.05) (0.07) (0.04) (0.07) (0.06) (0.06) (0.08) (0.05) (0.07) (0.08) (0.07) (0.07) (0.01) Powder Cocaine Stigmatization b 3.23*** -0.12+ -0.21* -0.01 0.05 -0.11 -0.01 0.14 -0.29*** -0.17 -0.11 -0.14 0.10 -0.06*** 0.18 (SE) (0.07) (0.05) (0.08) (0.05) (0.08) (0.07) (0.07) (0.10) (0.06) (0.09) (0.09) (0.08) (0.09) (0.01) Ecstasy Stigmatization b 3.14*** -0.11 -0.20* -0.01 0.05 -0.04 0.01 0.16 -0.36*** -0.12 -0.19+ -0.11 0.05 -0.05*** 0.16 (SE) (0.07) (0.05) (0.08) (0.05) (0.08) (0.07) (0.07) (0.10) (0.06) (0.09) (0.10) (0.09) (0.09) (0.01) Note; Comparison groups: ªAge 18-19, Male, "White. "Exposure to Users corresponds to level of stigmatization of the same drug. *p < .05 (not significant due to Bonferroni correction), *p < .01, **p < .001, *p < .0001. Opioid Stigmatization b 3.20*** -0.12+ -0.24* -0.04 0.05 -0.10 -0.02 0.07 -0.32*** 0.02 0.03 -0.28* -0.06 -0.05*** 0.14 (SE) (0.07) (0.05) (0.08) (0.05) (0.08) (0.07) (0.07) (0.10) (0.06) (0.09) (0.09) (0.09) (0.09) (0.01) Amphetamine Stigmatization b 3.22*** -0.13+ -0.22* -0.05 0.05 -0.12 -0.07 0.10 -0.32*** -0.04 0.03 -0.28* -0.11 -0.05*** 0.15 (SE) (0.07) (0.05) (0.08) (0.05) (0.08) (0.07) (0.07) (0.10) (0.06) (0.09) (0.09) (0.09) (0.09) (0.01)
1.
For Marijuana Stigmatization regression equation in Table 3,
a. Write the research question being analyzed |
b. Write out the final estimated regression equation
Transcribed Image Text:1. For Marijuana Stigmatization regression equation in Table 3, a. Write the research question being analyzed | b. Write out the final estimated regression equation
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