Regression analysis is a method of determining the relationship between two sets of variables when one set is dependent on the other. In business, regression analysis can be used to calculate how ...

Biometric analysis of the weight of 314 cockerel lenses required the preparation of data to create stochastic independence of the values. The subsequent non-linear regression analyses showed very ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

At times it is desirable to have independent variables in the model that are qualitative rather than quantitative. This is easily handled in a regression framework. Regression uses qualitative ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Yana Yelina in her role as ...

In statistics, a mathematical method of modeling the relationships among three or more variables. It is used to predict the value of one variable given the values of the others. For example, a model ...

Meteorological dispersion modeling (DM) and land-use regression modeling (LUR) are alternative methods describing small scale variations in air pollution levels, and both have been documented to ...

Results of the CTABLE option are shown in Output 39.1.11. Each row of the "Classification Table" corresponds to a cutpoint applied to the predicted probabilities, which is given in the Prob Level ...

Of these meta-analyses, only the three most recent meta-analyses covered the research performed over the last 5 years: (1) Grosso et al. 9 included randomized controlled trials (RCTs) published up to ...

For many states, Renewable Portfolio Standards (RPSs) are a primary method of reducing energy-related emissions and promoting clean energy. RPSs are strengthened in several different ways, and the ...