Time Series Forecasting

The project is about (I will provide the data) The data represent 2 years of monthly health insurance claims for a self-insured company A. Use regression analysis to fit a linear trend model to the data set. Interpret R square of the model B. Use regression analysis to fit a quadratic trend model to the data set. Interpret R square of the model C. Compare the R square of models in question A and B and what is implied by this comparison? D. Use Holt’s method to create a model that minimizes the MSE for the data set. What are the optimal values of α and β E. Use Holt-Winter’s additive method to create a seasonal model that minimizes the MSE for the data set. What are the optimal values of α, β, and