Use at least three different models to predict Price for the year 2020 by using Date and Volume data of the years 2017, 2018, and 2019.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

STEP 1: Find your group number

• ab=27

STEP 2: Get your personalized data

• Download the attached MS Excel file which includes the historical data for Ethereum cryptocurrency. There are three columns in this data file which are Date, Price, and Volume.

• Use the Price data for the year 2020 for test purposes (to calculate R2).

• Pick every bath day of every month between the beginning of 2017 and the end of 2019 to calculate the regression coefficients.

STEP 3: Build your model

• You should transform your Date column to be equal to a time interval starting from your zero-day. Obviously your Date data should start on some day and then increase by steps equal to 1 month.

• Use at least three different models to predict Price for the year 2020 by using Date and Volume data of the years 2017, 2018, and 2019. You can use the polynomials, power or exponential formulations, or combinations of them.

Example Models:

• Predicted_Price = Bias + (Coeff_Date * Date) + (Coeff_Volume * Volume)

• Predicted_Price = b0 + b1*Date + b2*Date2 + c1*Volume + c2*Volume2

STEP 4: Report your work

• Prepare a single PDF file for your report and upload it as your work for this assignment in MS Teams.

• Your report should include all the details of your calculation.

• Your report should include your selected models, and the final numerical values for the regression coefficients of these models.

• Your report should include the R2 values for your selected models for the test data for the year 2020.

• I would very much like to see the scatter plots of your data, and also a graphical comparison of your models and the test data.

Attachments:

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