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
A preliminary statistical analysis of 22 possible factors resulted in nine being included as independent variables in a multiple regression
is defined by the equation (Meyers et al.
Table 1(a): Multiple Regression
Results Model F Sig.
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.
analysis was undertaken to test the independent prediction of increased natriuretic peptide concentration.
Stepwise multiple regression
analysis was used to determine the community and landscape factors that best explain L.