Table 3 Regression model summary.
Statistic | Value | |||||
|---|---|---|---|---|---|---|
Dep. variable | Q (“efficiency improvement (%)”) | |||||
R-squared | 0.237 | |||||
Adj. R-squared | −0.144 | |||||
Method | Least Squares | |||||
F-statistic | 0.6216 | |||||
Prob (F-statistic) | 0.660 | |||||
Log-likelihood | −23.676 | |||||
No. observations | 13 | |||||
AIC | 57.35 | |||||
Df residuals | 8 | |||||
BIC | 60.18 | |||||
Df model | 4 | |||||
Covariance type | Nonrobust | |||||
coef | sth err | t | P>|t| | [0.025 | 0.975] | |
|---|---|---|---|---|---|---|
Intercept | 12.7890 | 6.577 | 1.945 | 0.088 | −2.377 | 27.955 |
Q (“nanoparticle concentration (wt%)”) | −3.5269 | 4.026 | −0.876 | 0.407 | −12.812 | 5.758 |
Q (“coolant flow rate (L/min)”) | −1.6353 | 1.985 | −0.824 | 0.434 | −6.212 | 2.942 |
Q (“solar irradiance (W/m²)”) | 0.0124 | 0.008 | 1.476 | 0.178 | −0.007 | 0.032 |
Q (“type of nanofluid stabilization”) | 1.4775 | 1.848 | 0.800 | 0.447 | −2.783 | 5.738 |
