Highlights
Inspect data set of a selected domain
(Agriculture Marketing Telecom Environment Entertainment Banking Finance Economics Finance etc) of interest and based on the past year's data (e.g., Sales, demand etc.) fit a trend line, and forecast the chosen variable for the next five units of time (eg: year/month/day etc) using Panel Regression/Time Series Analysis.
Example: Data of closing
Prices, volume, number of trades. Further, forecasting for the chosen variables should be done for the next five units of time (eg: year/month/day etc) using the techniques of Regression/time series. Conclude the analysis with a comprehensive report which should include the following:
Include an apt heading for
The report based on the data and analysis.
Introduction: Include
Details of chosen domain, objectives of the project, methods used. Dataset description: A brief description of the dataset, no. of variables and no. of observations, Explanation of fields in the
Dataset
Construct a trend line and forecast units.
Analysis
Include analysis conducted to forecast the trend.
Interpretation
Interpretation of results of analysis (regression parameters).
Conclusion
Include an overall conclusion of the analysis.
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