1. Houston, Texas FAT CITY, USA Gloria Lobo-Stratton Sharon Lovdahl Dennis Glendenning

2. Does Exercise Effect Weight?  Surveyed forty individuals  No Restrictions  No Bias  No Criteria  No Expectations  Just Information

3. The Data Hours per week Hours Per month Loss per Month 14.330 1 0 1 2 1 2 1 1 1 1 1 2 28.671 2 2 2 3 2 1 2 2 2 1 2 2 2 1 2 1 2 2 2 3 2 1

4. The Rest of the Story Hours per week Hours Per month Loss per Month 313.002 3 1 3 2 3 3 3 2 3 1 3 2 3 4 3 4 3 3 3 4 417.332 4 3 4 4 4 5 521.674 5 3 5 3 5 3 834.674 1043.335

5. Regression Analysis  The Relationship of the Data  Is the Data Linear?  What Does It Tell Us?  Why Would We Care?  Who Could Benefit from This Information?

6. The Analysis SUMMARY OUTPUT Regression Statistics Multiple R0.684895 R Square0.469081 Adjusted R Square0.455109 Standard Error0.948561 Observations40 ANOVA dfSSMSFSignificance F Regression130.20881 33.5741.09E-06 Residual3834.191190.899768 Total3964.4 CoefficientsStandard Errort StatP-valueLower 95% Intercept0.8988050.2845573.1586170.0031040.322751 Hours Per month0.1096110.0189175.7943071.09E-060.071316

7. Predicted Loss Per Month ObservationPredicted Loss per MonthResiduals 11.373786408-1.373786408 21.373786408-1.373786408 31.3737864080.626213592 41.3737864080.626213592 51.373786408-0.373786408 61.373786408-0.373786408 71.3737864080.626213592 81.848767737-0.848767737 91.8487677370.151232263 101.8487677371.151232263 111.848767737-0.848767737 121.8487677370.151232263 131.848767737-0.848767737 141.8487677370.151232263 151.848767737-0.848767737 161.848767737-0.848767737 171.8487677370.151232263 181.8487677371.151232263 191.848767737-0.848767737 202.323749066-0.323749066

8. The Rest of the Data ObservationPredicted Loss per MonthResiduals 212.323749066-1.323749066 222.323749066-0.323749066 232.3237490660.676250934 242.323749066-0.323749066 252.323749066-1.323749066 262.323749066-0.323749066 272.3237490661.676250934 282.3237490661.676250934 292.3237490660.676250934 302.3237490661.676250934 312.798730396-0.798730396 322.7987303960.201269604 332.7987303961.201269604 342.7987303962.201269604 353.2737117250.726288275 363.273711725-0.273711725 373.273711725-0.273711725 383.273711725-0.273711725 394.698655713-0.698655713 405.648618372-0.648618372

9. Scatter Plot

10. Regression Line

11. Predicted Versus Residuals

12. Limitations of the Data  Below 5 hours per month there is no result  A minimum of fifteen minutes a day  More than fifty hours a month not likely  1.6 hours a day

13. What This Means for You

14. Thank You