Dependent variable | Regression equations | *R*^{2} | *p* |
---|

WSN-1 | *y* = − 98.12 + 582.54*x* − 536.55^{2} | 0.973 | \(\ll\) 0.001 |

*y* = − 67.96 + 399.72*x* − 177.64*x*^{2} − 228.70*x*^{3} | 0.974 | \(\ll\) 0.001 |

WSN-59 | *y* = − 73.69 + 453.70*x* − 409.54*x*^{2} | 0.950 | \(\ll\) 0.001 |

*y* = − 57.09 + 353.10*x* − 212.03*x*^{2} − 125.85^{3} | 0.950 | \(\ll\) 0.001 |

- Square regression coefficient is estimated as SSR/SST, corrected for the mean. The dependent variable (
*y*) is temperature as estimated by each different sensor. The independent variable (*x*) is time. Statistical significance (*p* val) is shown in the last column