State the estimated coefficient for time and its interpretation. Also, state what the coefficient of determination is and its interpretation. In Fragile Families and Child Wellbeing study, a researcher wants to evaluate whether primary caregiver relationshipto youth and how much time youth lives with primary caregiver coupled with household income would affect numberof days youth absent from school. The following variables are considered: zizaloqui a obnos of enslq sodrum odtime: how much time youth lives with the primary caregiver. (1-less than half of the time, 0-most of the time)te all ofincome: primary caregiver household income (in the unit of thousand dollar)days: number of days youth absent from school.relationship: primary caregiver relationship to the youthRI-dummy 1relationshipBiological fatherBiological motherotherParameter EstimatesRegression analysis output are shown as follows,Analysis of VarianceSourceModelErrorCorrected TotalIntercepttimeincomer1×2The researcher wants to fit a multiple regression model. Assume 5% level of significance.Sum Sq7019712041010DE4159163r2 is the variable under r1Mean Sq17.512.40Estimate Std. Error t value Pr (>|t|)3.8260982.151170 1.7790.0772-2.6769701.056423 -2.5340.0113-0.0042150.005963 -0.7070.48061.0926121.280399 0.8530.39482.2531411.151844 1.956 0.0522.R2-dummy 201510g (101F value1.40Pr (>F)0.2364

It is given that the level of significance is α=0.05. Given information: Regression Analysis…

Answered: State the estimated coefficient for…

State the estimated coefficient for time and its interpretation. Also, state what the coefficient of determination is and its interpretation.

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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Question

State the estimated coefficient for time and its interpretation. Also, state what the coefficient of determination is and its interpretation.

In Fragile Families and Child Wellbeing study, a researcher wants to evaluate whether primary caregiver relationship
to youth and how much time youth lives with primary caregiver coupled with household income would affect number
of days youth absent from school. The following variables are considered: zizaloqui a obnos of enslq sodrum od
time: how much time youth lives with the primary caregiver. (1-less than half of the time, 0-most of the time)te all of
income: primary caregiver household income (in the unit of thousand dollar)
days: number of days youth absent from school.
relationship: primary caregiver relationship to the youth
RI-dummy 1
relationship
Biological father
Biological mother
other
Parameter Estimates
Regression analysis output are shown as follows,
Analysis of Variance
Source
Model
Error
Corrected Total
Intercept
time
income
r1
×2
The researcher wants to fit a multiple regression model. Assume 5% level of significance.
Sum Sq
70
1971
2041
0
1
0
DE
4
159
163
r2 is the variable under r1
Mean Sq
17.5
12.40
Estimate Std. Error t value Pr (>|t|)
3.826098
2.151170 1.779
0.0772
-2.676970
1.056423 -2.534
0.0113
-0.004215
0.005963 -0.707
0.4806
1.092612
1.280399 0.853
0.3948
2.253141
1.151844 1.956 0.0522
.
R2-dummy 2
01510g (1
0
1
F value
1.40
Pr (>F)
0.2364

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