Today, post the class, we engaged in a productive discussion with the TA, after which I decided to introduce a new variable into the model that is physical inactivity. In addition to obesity and food insecurity, this variable adds an important dimension to our analysis. Subsequently, I meticulously organized the data, ensuring that it accommodated this new variable for both urban and rural contexts. Following this data preparation, I conducted multiple regression analysis on our updated datasets.
Following are the results:
For the rural dataset: R-squared value: 0.572, Skewness: 0.314, Kurtosis: 3.417, F-statistic: 888.5, Prob(F-statistic): 6.78e-246
For the urban dataset: R-squared value: 0.507, Skewness: 0.061, Kurtosis: 3.104, F-statistic: 927.2, Prob(F-statistic): 1.11e-277
The R squared value for both datasets indicated a strong model fit. I further plan to delve deeper into understanding these findings and what they mean for thoroughly analyzing them, to understand how they can practically help our goals. After that I plan to perform cross validation to check the accuracy of the model and to determine overfitting.