Data Analysis: Time Series Analysis of 'TS Data' using R, Study notes of Econometrics and Mathematical Economics

The steps to perform time series analysis on the 'ts data' dataset using r. The analysis includes creating a time plot for the 'primer' variable, calculating descriptive statistics for all variables, generating smoothed time series using moving averages and exponential smoothing, and estimating six regression models with primer as the dependent variable. Confidence intervals are included for each regression.

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2011/2012

Uploaded on 12/21/2012

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1. Open the data set titled “TS Data” on the IMB
2. Create a time plot for the PrimeR variable. Change the horizontal axis
to reflect months (“Date” column).
3. Create a table of Descriptive statistics for all variables.
4. Create two smoothed time series for the PrimeR variable, one using a
9 month moving average and one using exponential smoothing with
weighting factor = 0.6. Plot the new smoothed series together on a
single graph.
5. Estimate six regression models using PrimeR as the dependent
variable:
a. Linear Trend
b. Quadratic Trend
c. Cubic Trend
d. AR(1)
e. AR(2)
f. AR(3)
Specifics:
Include a 99% Confidence intervals with your regressions
Do not worry about “line fit plot” or residuals
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  1. Open the data set titled “TS Data” on the IMB
  2. Create a time plot for the PrimeR variable. Change the horizontal axis to reflect months (“Date” column).
  3. Create a table of Descriptive statistics for all variables.
  4. Create two smoothed time series for the PrimeR variable, one using a 9 month moving average and one using exponential smoothing with weighting factor = 0.6. Plot the new smoothed series together on a single graph.
  5. Estimate six regression models using PrimeR as the dependent variable: a. Linear Trend b. Quadratic Trend c. Cubic Trend d. AR(1) e. AR(2) f. AR(3)

Specifics:

Include a 99% Confidence intervals with your regressions

Do not worry about “line fit plot” or residuals

docsity.com