The regression output is:
|
Regression Statistics |
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Multiple R |
0.995394 |
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| R
Square |
0.990809 |
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Adjusted R Square |
0.733916 |
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Standard Error |
4.602693 |
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Observations |
8 |
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ANOVA |
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df |
SS |
MS |
F |
Significance F |
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|
Regression |
4 |
9135.08 |
2283.77 |
143.7365 |
0.000932 |
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Residual |
4 |
84.73914 |
21.18478 |
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Total |
8 |
9219.819 |
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|
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
|
Intercept |
1044.391 |
48.54099 |
21.51566 |
2.76E-05 |
909.6199 |
1179.163 |
909.6199 |
1179.163 |
|
T |
-0.59204 |
0.112089 |
-5.2819 |
0.006162 |
-0.90325 |
-0.28083 |
-0.90325 |
-0.28083 |
|
m1 |
0 |
0 |
65535 |
#NUM! |
0 |
0 |
0 |
0 |
|
m2 |
14.34136 |
14.2508 |
1.006355 |
#NUM! |
-25.2252 |
53.90792 |
-25.2252 |
53.90792 |
| m3 |
21.93406 |
12.5917 |
1.741947 |
0.156482 |
-13.0261 |
56.89422 |
-13.0261 |
56.89422 |
Pmix = 1044.391 -0.59204*T + 0*m1 + 14.34136*m2 +
21.93406*m3
