Example 1 5. Use SPSS output ANOVAb Model Sum of Squares df

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© The Author(s) Published by Science and Education Publishing.

and Applications, 2016, Vol. 4, No. 2, doi: /jcsa-4-2-2

Correlation and Simple Linear Regression

Correlation and Simple Linear Regression

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Example 1 5. Use SPSS output ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 301.042 37.290 .004a Residual 32.292 4 8.073 Total 333.333 5 a. Predictors: (Constant), yrsed b. Dependent Variable: income

Example 1 5. Use SPSS output for the standardized beta and the test statistic Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 12.708 2.091 6.077 .004 yrsed 3.542 .580 .950 6.107

Example 1 Model Unstandardized Coefficients Standardized Coefficients Sig. B Std. Error Beta 1 (Constant) 12.708 2.091 6.077 .004 yrsed 3.542 .580 .950 6.107 2 4.673 .996 4.692 .018 -.541 .468 -.145 -1.156 .331 pincome 1.031 .114 1.137 9.063 .003