Regression for hansen solubility parameters

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Linear RegressionWarning(s):

Error: Singular matrix / Collinear variables.

GLM Error: Error in computing variance estimate! 

Error in estimating std.err. of a B

Error during estimating at matrix.

Regression Statistics

    1

"s#uare   1

 $d%usted "s#uare   #N/A

S   0

&    4

ANOVA

d.f. SS MS ' p"level  

egression   3 0.152 0.05067 0 #N/A

esidual    0 0 -1

(otal    3 0.152

Coefficient Standard Error LCL )CL t Stat  

Intercept   0 #N/A #N/A #N/A #N/A

-0.03262 #N/A #N/A #N/A #N/A

-0.42205 #N/A #N/A #N/A #N/A

3.60193 #N/A #N/A #N/A #N/A

-0.04649 #N/A #N/A #N/A #N/A

#N/A

#N/A

( *+,-   #N/A

LCL " Loer value of a reliable interval *LCL-

)CL " )pper value of a reliable interval *)CL-

Residuals

bservation ln*x0- 1redicted 2 esidual Standardi3ed Studenti3ed  

1 1.54004 1.54004 0 0 #N/A

2 1.97232 1.97232 0 0 #N/A

3 2.03072 2.03072 0 0 0

4 1.74236 1.74236 0 0 #N/A

Minimum   1.54004 1.54004 0 #N/A #N/A

Maximum   2.03072 2.03072 0 #N/A #N/A

Mean   1.82136 1.82136 0 #N/A #N/A

ln(x2) = 0 0!0"2#2 $ %%&2 0!'220 $ %%&2 "!#0

%%&2

%%&2

%%&

%+&2

%%&

%+&

1E-016

2E-016

3E-016

Residuals vs Predicted Y 

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1.5 1.6 1.7 1.8 1.9 2 2.1-5E-016

-4E-016

-3E-016

-2E-016

-1E-016

0

Predicted Y 

Residuals

1 2 3 4

-5E-016

-4E-016

-3E-016

-2E-016

-1E-016

0

1E-016

2E-016

3E-016

Residuals

Observation

Residuals

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 p"level 45 *+,-

#N/A 6&/$

#N/A 6&/$

#N/A 6&/$

#N/A 6&/$

#N/A 6&/$

7eleted t Leverage Coo89s 7 7'( 1ESS

#N/A 1 #N/A #N/A #N/A

#N/A 1 #N/A #N/A #N/A

#N/A 1 #N/A #N/A 0

#N/A 1 #N/A #N/A #N/A

#N/A 1 #N/A #N/A #N/A

#N/A 1 #N/A #N/A #N/A

#N/A 1 #N/A #N/A #N/A

&*" $ %%& 0!0'#'* $ %+&2

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