This analysis explores the historical trends in 30-year fixed-rate mortgage interest rates using time series data. Key steps include data preprocessing, visualization of the interest rate trends over time, and fitting a linear regression model to estimate the trend equation. The analysis calculates model accuracy metrics such as Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). Finally, the fitted model is used to forecast the average mortgage interest rate for a future period (Period 25, corresponding to 2024).

Time Series Analysis using Naive Approach, Moving Average and Exponential Smoothing Approach and the Linear Trend Approach

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