**Step-wise Regression**Model In order to clearly understand the links between wages and productivity in selected industries, this study has used a simple

**step-wise regression**model (used by Laxmi Narayan 2003).

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The results are essentially the same in a **step-wise regression** analysis: Stepwise Regression: Difference versus Absences, SAT, GPA Alpha-to-Enter: 0.

Since the result obtained from **step-wise regression** has the least F-test value and t-test value, this method is selected finally.

Using **step-wise regression**, the midterm exam was the only component for teacher assessment used in both the 2003 and 2005 regression models.

The results after this selection, which is a **step-wise regression** procedure, are presented separately.

Table 1 R, R Square and Beta for the **Step-wise Regression** Equation Using Select subscales of the WPP as Independent Variables and WLCS as the Dependent Variable Dependent R R Square Predictor Beta t WLCS .

The **step-wise regression** analyses provides the following supporting equations.

56 Table 3: **Step-wise Regression** Analysis between Transformational Leadership Styles and Organizational Climate Dimension of Trusting Relationship Model Unstandardized Standardized Incremental Coefficients Coefficients R-square B Std.