A cross-sectional study examined the association between the quality of physical health (dependent variable; quantitative, measured on a scale of 0-100) and several hypothesized factors. The estimated regression coefficients are summarized in the table below: Coefficient Estimate p-value Intercept 85.16 <.0001 Age (years) -0.03 0.010 Gender Female Male Non- binary Education Less than high- school ref. -5.38 0.023 -1.12 ref. 0.89 -7.12 0.047 ref. High- school College Graduate Interpret the model estimates for age and gender. ref. 4.60 0.011 4.84 0.003

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Interpret the model estimates for age and gender. 

A cross-sectional study examined the association between the quality of physical health (dependent variable;
quantitative, measured on a scale of 0-100) and several hypothesized factors. The estimated regression
coefficients are summarized in the table below:
Coefficient Estimate p-value
Intercept
85.16 <.0001
Age (years)
-0.03 0.010
Gender
Female
Male
Non-
binary
Education
Less
than
high-
school
High-
school
College
Graduate
ref.
-5.38 0.023
-1.12
ref.
ref.
0.89
-7.12 0.047
ref.
4.60 0.011
4.84 0.003
Interpret the model estimates for age and gender.
Transcribed Image Text:A cross-sectional study examined the association between the quality of physical health (dependent variable; quantitative, measured on a scale of 0-100) and several hypothesized factors. The estimated regression coefficients are summarized in the table below: Coefficient Estimate p-value Intercept 85.16 <.0001 Age (years) -0.03 0.010 Gender Female Male Non- binary Education Less than high- school High- school College Graduate ref. -5.38 0.023 -1.12 ref. ref. 0.89 -7.12 0.047 ref. 4.60 0.011 4.84 0.003 Interpret the model estimates for age and gender.
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