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Data Analysis
Measurements taken over the last ten years (Jan. 1994 to Dec. 2004) have shown a steady increase in
atmospheric CO2 concentration, fluctuating throughout the year. A brief analysis of the sample data
shows acceptable normality (Shapiro-Wilk’s W = 0.98523, p-value = 0.1652), so forecasts for the coming
years should be reliable. After removing the deterministic components of the data, residuals were
stationary (Dickey-Fuller = -5.72, p-value = 0.01;
KPSS = 0.016, p-value = 0.1) and followed an
invertible MA(1) process (𝜃̂ = -0.5601, SE =
0.0821). Once the process the residuals follow
was identified, values for the next 24 months
were forecasted and tested for any remaining
dependence using ACF and PACF plots and a
Box-Ljung test, which found no remaining
dependence (Box-Ljung 𝜒24
2
= 18.964, p-value =
0.7539) Adding the deterministic elements back
to the expected values of the process for the
next twenty-four months yielded our expected
CO2 levels for the next two years, illustrated in
the graph to the left. Point estimates and 95%
confidence intervals for the year of 2005 are
given below.
Month Estimate
95% CI
Lower
95% CI
Upper
Jan-05 382.13 380.46 383.10
Feb-05 382.56 381.05 384.07
Mar-05 383.05 381.54 384.56
Apr-05 383.44 381.93 384.95
May-05 381.37 379.86 382.88
Jun-05 374.93 373.42 376.44
Jul-05 368.99 367.48 370.50
Aug-05 369.58 368.07 371.09
Sep-05 374.55 373.04 376.06
Oct-05 378.89 377.38 380.40
Nov-05 381.68 380.17 383.19
Dec-05 383.30 381.79 384.81

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2005 Carbon Dioxide Forecast for Alarm, NT, Canada

  • 1. Data Analysis Measurements taken over the last ten years (Jan. 1994 to Dec. 2004) have shown a steady increase in atmospheric CO2 concentration, fluctuating throughout the year. A brief analysis of the sample data shows acceptable normality (Shapiro-Wilk’s W = 0.98523, p-value = 0.1652), so forecasts for the coming years should be reliable. After removing the deterministic components of the data, residuals were stationary (Dickey-Fuller = -5.72, p-value = 0.01; KPSS = 0.016, p-value = 0.1) and followed an invertible MA(1) process (𝜃̂ = -0.5601, SE = 0.0821). Once the process the residuals follow was identified, values for the next 24 months were forecasted and tested for any remaining dependence using ACF and PACF plots and a Box-Ljung test, which found no remaining dependence (Box-Ljung 𝜒24 2 = 18.964, p-value = 0.7539) Adding the deterministic elements back to the expected values of the process for the next twenty-four months yielded our expected CO2 levels for the next two years, illustrated in the graph to the left. Point estimates and 95% confidence intervals for the year of 2005 are given below. Month Estimate 95% CI Lower 95% CI Upper Jan-05 382.13 380.46 383.10 Feb-05 382.56 381.05 384.07 Mar-05 383.05 381.54 384.56 Apr-05 383.44 381.93 384.95 May-05 381.37 379.86 382.88 Jun-05 374.93 373.42 376.44 Jul-05 368.99 367.48 370.50 Aug-05 369.58 368.07 371.09 Sep-05 374.55 373.04 376.06 Oct-05 378.89 377.38 380.40 Nov-05 381.68 380.17 383.19 Dec-05 383.30 381.79 384.81