Using SPSS for Simple Regression UDP 520 Lab 6 Lin Lin November 27th, 2007
Outline Dataset Using SPSS for Simple Regression Using SPSS for OLS test
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
Research Question How does BMI_2 relate to BMI_1? Predict BMI after people participated WLTP.
Analysis Simple regression Where y : BMI_2 x1: BMI_1
Using SPSS for Regression Analysis
SPSS Output
SPSS Output (cont.)
Using SPSS for OLS Test
SPSS Output (OLS Test)
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).]