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Related to multiple regression: Multiple linear regression
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Calculating the Pearson correlation coefficient between the data landslide factors as the dependent variable and efficient factors in landslide as independent variables have proven the minimal correlation between these two sets of variables necessary to perform multiple regression model.
A preliminary statistical analysis of 22 possible factors resulted in nine being included as independent variables in a multiple regression model.
Multiple regression is defined by the equation (Meyers et al.
We use simple and multiple regressions to test whether the above variables can, individually, or collectively, explain the annual stock returns of the sample firms in each of the five years from 1996 to 2000.
The number of combinations of variables included in the multiple regression analysis for round cross sections was 12,636.
Appraisers contemplating the use of multiple regression analysis in evaluating environmental stigma, or for any appraisal-related purpose, should remember the requirements in the COMPETENCY RULE of the Uniform Standards of Professional Appraisal Practice (USPAP).
a, The multiple regression models should only include either [X.
The comparable sales data is then used to estimate a multiple regression equation to estimate sales price.
A stepwise multiple regression was used to examine the impact of the independent variables of age, gender, academic achievement, and perceived peer beliefs on the dependent variable of identification with school.

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