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Uncertainty of slope linear regression

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Regression kriging is a hybridized kriging approach that combines the kriging of predictions and residuals with either linear regression models or machine learning algorithms. For instance, Pouladi et al. (2019) applied cubist and random forest to ordinary kriging to generate hybridized regression kriging models, cubist regression kriging and.

The slope for each given test is linear; however the slope changes between different tests (i.e. different rocks). The temperature sensor resolution is +/- 0.03 degrees C so when the temperature increase is very small, the data points are more spread out as we're closer to the noise limit of the sensor and the R-squared of the fit drops.

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