What was a “Hooverville”?

Questions

Whаt wаs а “Hооverville”?

A lоcаl hоspitаl cоnducted а study to predict Stroke Risk (y-variable) based on the following x-variables: Age, Weight, and Smoker (1=smokes, 0=does not smoke). Multiple regression results from Excel are shown below. Regression Statistics Multiple R 0.82 R Square 0.67 Adjusted R Square 0.58 Standard Error 9.57 Observations 20 ANOVA   df SS MS F-stat p-value Regression 3 2815.81 703.95 7.68 0.001 Residual 15 1375.14 91.68 Total 18 4190.95         Coefficients Standard Error t Stat P-value Intercept -48.90 37.55 -1.30 0.213 Age 0.27 0.10 2.72 0.016 Weight -0.07 0.07 -1.08 0.296 Smoker 17.09 4.74 3.61 0.003 RESIDUAL OUTPUT Observation Predicted Risk Residuals 1 8.8 -5.8 2 21.3 -13.3 3 14.4 -2.4 4 10.2 2.8 5 16.7 -1.7    Question:  What general conclusions can you draw about how Age, Weight, and Smoker affect Stroke Risk?  Does each increase or decrease Rating? Are these variables significant (α=.05)? Do NOT worry about formal interpretation or t-tests; just indicate whether each variable seems to increase/decrease Stroke Risk, whether each is significant or not, and how you determined the significance of each.