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Using SPSS for Simple Regression

Using SPSS for Simple Regression. UDP 520 Lab 6 Lin Lin November 27 th , 2007. Outline. Dataset Using SPSS for Simple Regression Using SPSS for OLS test. Dataset – WLTP.

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Using SPSS for Simple Regression

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  1. Using SPSS for Simple Regression UDP 520 Lab 6 Lin Lin November 27th, 2007

  2. Outline • Dataset • Using SPSS for Simple Regression • Using SPSS for OLS test

  3. Dataset – WLTP • 1000 adults aged 18+ (males and females) were recruited to study the effectiveness of Weight Loss Training Program (WLTP) • Variables • Sex (female=1) • BMI_1(before WLTP) • BMI_2(after WLTP) • Urban or suburban (urban=1) • Overweight_1 (overweight before WLTP) (overweight=1) • Overweight_2 (overweight after WLTP) (overweight=1) http://courses.washington.edu/urbdp520/UDP520/WLTP.sav

  4. Research Question • How does BMI_2 relate to BMI_1? • Predict BMI after people participated WLTP.

  5. Analysis • Simple regression • Where y : BMI_2 x1: BMI_1

  6. Using SPSS for Regression Analysis

  7. SPSS Output

  8. SPSS Output (cont.)

  9. Using SPSS for OLS Test

  10. SPSS Output (OLS Test)

  11. Interpreting Estimated Coefficient • With every 1 BMI_1 increases, BMI_2 will increases by 1.024. • We could understand this way: if the difference of BMI_1 of Person A and person B is 1, the difference of BMI_2 of these two person will be 1.024. [The result suggests that people with lower BMI will lose more weight (assuming the heights of the people stay the same during the period of WLTP).]

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