# linear regression

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## Synonyms for linear regression

### the relation between variables when the regression equation is linear: e

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Table 4: Testing of Multiple Linear Regression Model ANOVA
A statistical approach that examines the existence and quantify any possible associations between Y, and the presence of a set of factors X that exert influence on their behavior, is the Beta Regression Model.
Logistic regression analysis has similarity to a linear regression model but is appropriate in situations where there exist binary outcomes of dependent variable.
In these figures, x-axis is the difference in percentage between regression model and tests in terms of either fuel mass or BSFC.
In order to model these two variables obtained from blood transfusion data, the bivariate zero-inflated Poisson regression model was used.
In this regard, we compare the results of three models; Threshold regression model, smooth transition regression model and Markov regime-switching model.
He applied the regression model to medical claims for ICD-9-CM-diagnosed pertussis in individuals under age 50 in the IMS PharmMetric Plus claims database for the years 2008-2013.
However tobacco use was not found to be statistically significant in the final multiple logistic regression model.
When breastfeeding and infant growth were entered into the regression model and adjusted for covariates, breastfeeding was no longer statistically significantly associated with BMI, while early growth remained statistically significantly associated with BMI.
Linear regression is arguably the most popular regression model in practice, because of the ubiquity of continuous outcomes and because it is relatively easy to understand the modeled relationship and interpret the model estimates.
Consequently, researchers specifying regression models must identify a valid model, decide whether to weight the regression model, and determine how to best estimate the associated standard errors.
Ureyen and Kadoglu (2007), used a linear regression model to predict the cotton yarn properties on the basis of fibre properties.
The aim of this study was to compare two different lactation curve models (Woodand cubic spline regression model in two knots: CSR1 and CSR2) and to find the best model that provided a good description of the first lactation curve of Jersey cattle herd.
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