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 ?
In this research, trying to achieve predetermined objectives of multiple regression and artificial neural networks, two methods are used.
Chapter 13 describes multiple regression analysis with SPSS using a simple example.
Multiple regression stepwise forward analysis revealed that BMI values, fasting blood glucose, WBC count, fasting hsCRP and hemoglobin were independent factors related to total testosterone.
A multiple regression analysis revealed no significant relationships between the predictor variables of exercise, diet, and HLOC and the dependent variable of obesity (F=.
Hierarchical multiple regression analyses were conducted to estimate the associations of contaminant levels with go/no-go performance (mean reaction time, percent correct go, percent correct.
In 2005-2006 a survey of randomly-selected practices and health providers was conducted, with multiple regression analysis to establish significant determinants of coverage and timeliness.
The first part of the study conducted during fall 2005 to spring 2007 semesters by D'Souza and Maheshwari (2009) developed a multiple regression model that included four independent variables as a predictor of student performance.
Key words: intangible assets, ROA, multiple regression, independent variables, dependent variables
Coverage progresses from graphing variables through basic statistical inference, simple linear regression, multiple regression analysis, analysis of variance, and advanced topics such as two-way ANOVA.
For example, the article stated that "the county employed a computer program called Multiple Regression Analysis.
Results from simultaneous multiple regression analysis showed that attitudes toward mental health services contributed significantly to satisfaction with counselling.
Multiple regression analysis was conducted using the stepwise approach to determine the influence of human and technological encounter satisfaction on overall satisfaction.

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