This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this ...

Conclusions: We conclude that the regression analysis for Chinese forest NPP with respect to environmental factors and based alternatively on OLS, the spatial lag model, and GWR methods indicated that ...

Ordinary Least Squares (OLS) regression analysis is the most frequently used empirical model, and is appropriate for analyzing continuous dependent variables that meet certain distributional ...

This article describes the use of OLS regression analysis to build a fairly simple model that can estimate the price of crude oil.

Figure 19.2: OLS Results for Supply Equation For each MODEL statement, the output first shows the model label and dependent variable name and label. This is followed by an Analysis of Variance table ...