R studio Forecasting Project

Data exploration: Conduct a thorough exploratory data analysis (using graphs, statistical tests, etc., and a verbal analysis)

Forecasting: Build 3 potentially suitable forecasting models, including a suitable Exponential Smoothing (ES), ARIMA, and a Time Series Regression model to predict the 14 next values.

Discussion of expected Accuracy (Errors): Compare all three models with each other. Choose what you assume to be the "best" model from these models, by assessing errors and comparing errors against a Naive and a Seasonal Naive benchmark model.

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