Examples of using Regression models in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Our regression model is linear in parameters.
In the univariate linear regression model, we assume that.
The regression model is linear in parameters.
Functional form for the zero-inflated generalized Poisson regression model.
The relative risk of death was assessed using a Cox proportional hazards regression model.
Exit probabilities are estimated using Cox's Proportional Hazard Regression Model.
Limitations of cross sectional multiple regressions model.
The technique is based on a Poisson regression model but is complicated by the data structure and the dynamic nature of teams performances.
we will fit a regression model to the data that projects an expected fantasy point total given a player's ranking that week.
Does a high t-score for a coefficient in a regression model indicate a causal relationship between the variable
This model could be fitted as a no-intercept regression model in which the first difference of Y is the dependent variable.
Our linear regression model(horizontal axis)
The normality test aims to find out whether in the regression model, the dependent variable
Under the terms of classical assumptions of linear regression with OLS, it is a good linear regression model is free from any multicollinearity.
Based on the F test, the regression model used to predict the occupancy level of the starred hotel in Central Java is not valid.
A regression model is a linear one when the model comprises a linear combination of the parameters, i.e..
Using three logistical regression model, the association between the use of antihypertensive drugs and dementia incidence was
it can be concluded that the regression model does not meet the assumption of normality.
more other series a regression model.
heteroscedastisity test, and autocorrelation test, then the regression model used to predict the occupancy level of the starred hotel is valid.