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Linear Regression for DATA18_A: Y = A + B * X Parameter Value Error t-Value Prob>|t| --------------------------------------------------------------------------- A 323.2355 0.78837 410.00387 <0.0001 B -2.09799 0.0575 -36.48812 <0.0001 --------------------------------------------------------------------------- R R-Square(COD) Adj. R-Square Root-MSE(SD) N --------------------------------------------------------------------------- -0.99221 0.98447 0.98373 1.82912 23 --------------------------------------------------------------------------- Parameter LCI UCI --------------------------------------------------------------------------- A 321.59599 324.87501 B -2.21756 -1.97842 --------------------------------------------------------------------------- ANOVA Table: --------------------------------------------------------------------------- Degrees of Sum of Mean Item Freedom Squares Square F Statistic --------------------------------------------------------------------------- Model 1 4454.38548 4454.38548 1331.38277 Error 21 70.25936 3.34568 Total 22 4524.64484 --------------------------------------------------------------------------- Prob>F --------------------------------------------------------------------------- <0.0001 --------------------------------------------------------------------------- ÉÏÃæÊÇÏÔʾµÄÄÚÈÝ£¬µÚÒ»¸öB=-2.09799,µÚ¶þ¸öB=-2.21756£¬ Ñ¡Äĸöѽ£¿ |
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