Multiple regression

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Related to Multiple regression: Multiple linear regression

Multiple regression

The estimated relationship between a dependent variable and more than one explanatory variable.

Multiple Regression

In statistics, an equation showing the value of a dependent variable as a function of two or more independent variables. As with regression analysis, multiple regression analysis is important for determining certain economic phenomena.
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The result, 88% (rounded), is reported in Figure 4 as Multiple R (cell B4), which is R for a multiple regression equation.
Hence the estimates from the univariate regression and multiple regression usually converge to different limits.
Table-3 shows the results of Multiple Regression Model where literacy of women aged 15-49 (literacy), houses having place of hand wash and presence of safety net showed that except for place of hand wash, other indicators had a significant effect on lowering infant mortality.
When planning a multiple regression analysis, we recommend that researchers compute Equations 1 and 2 using several different plausible values of [[?
In this paper we used multiple regression models to forecast the rainfall in four locations of Sindh province namely Sukkur Larkana Hyderabad and Karachi.
For this purpose, usage of factor analysis (with VARIMAX rotation) in multiple regression models was employed (Sakar et al.
In order to estimate body weight of the indigenous Mengali sheep, the current data were analyzed using factor scores in multiple regression analysis.
Garcia and Jenkins (2003) used multiple regression and principal component analysis to study the impact of around 20 independent variables on performance of a degree program in accounting and finance and found six were significant in explaining the variation in current performance.
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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