multiple regression


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Related to multiple regression: Multiple linear regression
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Noun1.multiple regression - a statistical technique that predicts values of one variable on the basis of two or more other variables
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
multivariate analysis - a generic term for any statistical technique used to analyze data from more than one variable
multicollinearity - a case of multiple regression in which the predictor variables are themselves highly correlated
References in periodicals archive ?
Simple and multiple regression models were used for the prediction of pulmonary function test values.
Multiple regression procedures were used to assess the contribution of each item regarding confidence in science toward the explanation of science achievement test scores.
The goal is to develop a multiple regression model based on the 31 months of data (June 2012 through December 2014) presented in Figure 1.
Key words: Forward selection, backward elimination, univariate regression; multiple regression
infant mortality rate by using Multiple Regression model and Conditional Autoregressive Model to quantify spatial risk of infant death.
The results of the study are gleaned by using the direct path way and multiple regression to investigate the impact of HR practices on mediating variable (employees engagement) and mediating variable on both dependent variables (employees' satisfaction and employees' performance).
As a result of the stepwise multiple regression analysis where factors predicting preservice teachers' attitudes towards technology, it was found that duration of daily internet use was the strongest predictor of attitudes towards technology.
According to Newman, Vance, and Moneyham (2010), SEM can test multiple relationships between multiple independent, mediator, and dependent variables simultaneously and control for error; meanwhile, multiple regression can only examine in step-wise fashion the effects of adding a series of predictor variables on a single dependent variable.
In this research, trying to achieve predetermined objectives of multiple regression and artificial neural networks, two methods are used.
Multiple regression is one of the most frequently used statistical methods in the social and behavioral sciences (Gordon, 2010, pp.
In this paper multiple regression models were used which estimate the amount of rainfall in mm for monsoon season (June-Sep) for four cities of Sindh Sukkur Larkana Hyderabad and Karachi using previous data of 25 years (1987-2011).
Data was analyzed using descriptive correlation and multiple regression analyses.

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