Regression Model Sample Clauses

Regression Model. Yi = ▇ ▇ + β1*HMO (0/1) + β2*Age + β3*Female (0/1) + β4*Smoker ()/1) + β5*Private Insurance (0/1) + β6*Race + β7*Marital Status + β8*Region of the U.S. + β9*Education level + β10*Health Status (self-perceived) + β11*Income (%FDL) + ε In the two-part model, Yi first entails any ER expenditures: Pr(y > 0jx) = F(xδ) where x represents the explanatory variables and δ the corresponding parameters to be estimated. In the second part, the model is conditional E(y | y > 0, x) = g(xγ) ) where x, again, represents the explanatory variables γ represents the parameters to be estimated and g stand for the transformation function. [36] ▇ ▇ is the intercept, β1- β11 represent the coefficients of each explanatory variable, and ε is the error term. Perceived health status is a proxy for comorbidities, which are often present in asthma patients. The average person with asthma has 2.3 other chronic conditions. Income as a percentage of FPL corrects for the difference in single person income and family income and is a proxy for socio-economic status.
Regression Model. Y = b0 + b1X1 + b2X2 + …..+ bnXn + Έ Whereby: Y = Dependent Variable b0 = Constant (Intercept) b1, b2, bn = Beta coefficients (slopes) for independent variables X1, X2, Xn respectively X1, X2, Xn = Independent Variables Έ = Standard error term The study included all variables in the regression model by using an OLS estimation technique. The final model looks as the follows.
Regression Model. Yi‟s = β0 + β1*% AST Time + β2* Access to school within community + (β3* % AST Time * Access to school within community) + β4* Intensity of PA in and outside school + β5‟s* Urbanization Indices + β6* Nutrition + β7* Household characteristics + β8* Individual characteristics + Person Fixed (Random) Effect + Time Fixed Effect + µi In these models, Yi‟s is outcomes including being obese, being overweight, and BMI z-score. In this equation, β0 is the intercept, βi represents the coefficients of each explanatory variable, β3 is the coefficient of the interaction term which is of main interest, µi is the residual, and β5‟s are coefficients of the twelve urbanization indices. Additionally, nutrition is measured by daily caloric intake. Household characteristics include mother‟s BMI and family size, and individual characteristics include region, gender, as well as age at the base line survey.

Related to Regression Model

  • Power Factor Design Criteria Developer shall design the Large Generating Facility to maintain an effective power delivery at demonstrated maximum net capability at the Point of Interconnection at a power factor within the range established by the Connecting Transmission Owner on a comparable basis, until NYISO has established different requirements that apply to all generators in the New York Control Area on a comparable basis. The Developer shall design and maintain the plant auxiliary systems to operate safely throughout the entire real and reactive power design range. The Connecting Transmission Owner shall not unreasonably restrict or condition the reactive power production or absorption of the Large Generating Facility in accordance with Good Utility Practice.

  • Start-Up and Synchronization Consistent with the mutually acceptable procedures of the Developer and Connecting Transmission Owner, the Developer is responsible for the proper synchronization of the Large Generating Facility to the New York State Transmission System in accordance with NYISO and Connecting Transmission Owner procedures and requirements.

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  • System Upgrade Facilities and System Deliverability Upgrades Connecting Transmission Owner shall design, procure, construct, install, and own the System Upgrade Facilities and System Deliverability Upgrades described in Appendix A hereto. The responsibility of the Developer for costs related to System Upgrade Facilities and System Deliverability Upgrades shall be determined in accordance with the provisions of Attachment S to the ISO OATT.

  • Progression For progression for all classifications under this agreement, refer to Schedules A to D.