From: Dawn.Belle.Flood@gmail.com   
      
   On 1/16/2026 1:41 PM, jojo wrote:   
   > Dawn Flood wrote:   
   >> 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:   
   >>   
   >> —————   1/14/2026 2:05:41 PM   —————⠠ 
   ”——————————————   
   >>   
   >> 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   
   >   
   > 2024 had some el nino thing?   
   >   
      
   Yes.  As time goes on (and as global temperatures continue to rise), the   
   2024 anomaly will likely disappear.   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)