Update regarding project 1:
Today, I have conducted multiple linear regression analysis on the provided data, specifically focusing on variables common to all sheets, namely “%diabetes,” “%inactivity,” and “%obesity.” The results of this analysis are summarized as follows:
- Multiple R: 0.583729108
- R Square: 0.340739671
- Adjusted R Square: 0.336983202
- Standard Error: 0.593139754
- Observations: 354
The multiple R value indicates the correlation between the independent variables and the dependent variable. The R Square value represents the proportion of variance in the dependent variable that can be explained by the independent variables. The Adjusted R Square value adjusts the R Square for the number of predictors. The Standard Error provides an estimate of the standard deviation of the errors in the regression model, and the number of Observations reflects the sample size used in the analysis.