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   Message 95,577 of 95,770   
   Dawn Flood to JTEM   
   Re: If predictions fail your hypothesis    
   30 Jan 26 17:30:51   
   
   XPost: alt.global-warming, alt.atheism   
   From: Dawn.Belle.Flood@gmail.com   
      
   On 1/30/2026 4:34 PM, JTEM wrote:   
   > On 1/29/26 12:38 AM, Dawn Flood wrote:   
   >   
   >> What difference does such make??  The regression that I posted doesn't   
   >> lie:   
   >   
   > It was a lie!   
   >   
   > It's all a lie!  You have no idea what you even posted, just   
   > random number you pretend are real and that you understand!   
   >   
   > It's just plain not warm. Period. And, warmer would be a   
   > good thing. It would be more food, which translates into   
   > cheaper food.   
   >   
   > It would mean less fuel wasted on heating things like homes!   
   >   
   >   
   > These are good things.   
   >   
      
   Then, it was lie; this isn't:   
      
   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   
      
   For 1,000 PPM, here's the prediction:   
      
   Temp = -351 + 1.08 * 1000   
      
         = 7.29C   
      
   If true, this will *NOT* be a "good thing."   
      
   Dawn   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)   

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