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1. A well-organized time-series analysis of a dataset from the publicly available data sources, and produce a statistical study with a specific conclusion. This research could be performed on any variable and any period. 2. The dataset must be large enough, with enough records and sufficient statistical power. I would appreciate if you consider a data set of at least 10 years in size, that is a long period of time for most applications. 3. The time-series analysis must include at least one variable, and any other variables of interest, if present.

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Arima forecasting is the analysis of economic data to predict future trends. The first step in this process is to transform the historical data into a series of numbers known as a series of residuals. The residuals are then used to make predictions for future data points. This process is commonly referred to as ARIMA. ARIMA stands for autoregressive integrated moving average (ARIMA). It was first proposed by in 1960. An ARIMA model is a statistical model that can be used to forecast future values of the

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