From: Dawn.Belle.Flood@gmail.com   
      
   Last year I committed to providing this group with annual updates on   
   worldwide temperature anomalies versus annual CO2 concentrations, and   
   so, here is my January 2026 update for this past year.  First off, my   
   data sources; for the annual temperature anomalies, go here:   
      
   https://data.giss.nasa.gov/gistemp/tabledata_v4/GLB.Ts+dSST.txt   
      
   This is from a NASA GISS website, and I am pulling the J-D values for   
   each year.  For CO2 concentrations, here is the NOAA website:   
      
   https://gml.noaa.gov/webdata/ccgg/trends/co2/co2_annmean_mlo.txt   
      
   As before, it's the annual concentration.  I am using Minitab v14, and   
   ran a regression with the dependent variable being temperature anomalies   
   and the independent being CO2 concentration; here are the results:   
      
   â€”————   1/14/2026 2:05:41 PM   ———————†  
   â€”———————————   
      
   Worksheet size: 10000 cells.   
      
   Welcome to Minitab, press F1 for help.   
   Retrieving project from file: 'C:\Program Files (x86)\MINITAB 14   
   Student\Studnt14\Global Warming.MPJ'   
   MTB > Regress 'Temp' 1 'CO2';   
   SUBC>   Constant;   
   SUBC>   Brief 2.   
      
   Regression Analysis: Temp versus CO2   
      
   The regression equation is   
   Temp = - 351 + 1.08 CO2   
      
      
   Predictor     Coef  SE Coef       T      P   
   Constant   -350.57    12.77  -27.46  0.000   
   CO2        1.08012  0.03519   30.69  0.000   
      
      
   S = 9.40662   R-Sq = 93.5%   R-Sq(adj) = 93.4%   
      
      
   Analysis of Variance   
      
   Source          DF     SS     MS       F      P   
   Regression       1  83344  83344  941.91  0.000   
   Residual Error  65   5751     88   
   Total           66  89096   
      
      
   Unusual Observations   
      
   Obs  CO2    Temp     Fit  SE Fit  Residual  St Resid   
     66  425  128.00  108.06    2.51     19.94      2.20R   
      
   R denotes an observation with a large standardized residual.   
      
   END OUTPUT   
      
   As compared to the 2024 results, the R-Sq has gone up from 93.1 to 93.5   
   (with a corresponding smaller T-value); the tool is still identifying   
   #66 (2024) as being an outlier.   
      
   Dawn   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)