Question: The REG Procedure Model: MODEL1 Dependent Variable: beds Number of Observations Read 28 Number of Observations Used 28 Analysis of Variance Source DF Sum

The REG Procedure Model: MODEL1 Dependent Variable: beds Number of Observations Read

The REG Procedure Model: MODEL1 Dependent Variable: beds Number of Observations Read 28 Number of Observations Used 28 Analysis of Variance Source DF Sum of Squares Mean Square F Value Pr > F Model 1 121.87668 121.87668 7.42 0.0114 Error 26 427.27189 16.43353 Corrected Total 27 549.14857 Root MSE 4.05383 R-Square 0.2219 Dependent Mean 7.94286 Adj R-Sq 0.1920 Coeff Var 51.03742 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr> It Intercept 1 1.55714 2.46683 0.63 0.5334 PCGDP 1 0.00030940 0.00011361 2.72 0.0114

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confidence intervals (Chapter 4)

2. Effect size this is a measure of the degree to which differences in a dependent variable are attributed to the independent variable.

3. Confidence limits around the difference between the means.