(a) Run linear regression on the closing price data for BTC in the range of 12/15/2020 to 12/28/2020. Report the r-squared value on your training data. Use this to predict BTC closing prices on 1/1/2021 and 1/8/2021. How close are your predictions to the actual? Repeat with polynomial regression. (b) Run linear regression on the closing price data for BTC in the range of 2/2/2021 to 2/15/2021. Report the r-squared value on your training data. Use this to predict BTC closing prices on 2/19/2021 and 2/21/2021. How close are your predictions to the actual? Repeat with polynomial regression. (c) What is the daily rate of change on average of BTC closing prices based on your predictions obtained from regression on the data in the range of 12/15/2020 to 12/28/2020. What about for 2/2/2021 to 2/15/2021?

College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...
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(a) Run linear regression on the closing price data for BTC in the range of 12/15/2020 to
12/28/2020. Report the r-squared value on your training data. Use this to predict BTC
closing prices on 1/1/2021 and 1/8/2021. How close are your predictions to the actual?
Repeat with polynomial regression.
(b) Run linear regression on the closing price data for BTC in the range of 2/2/2021 to 2/15/2021.
Report the r-squared value on your training data. Use this to predict BTC closing prices
on 2/19/2021 and 2/21/2021. How close are your predictions to the actual? Repeat with
polynomial regression.
(c) What is the daily rate of change on average of BTC closing prices based on your predictions
obtained from regression on the data in the range of 12/15/2020 to 12/28/2020. What about
for 2/2/2021 to 2/15/2021?

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