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As is to be expected, there is a positive connection between the two variables.
No interaction was observed between the two variables (p = 0.193).
Regression fits a best-fit line or curve, and tells you something about the trend between the two variables.
Findings reveal weak relationship between the two variables (physics and mathematics).
As the average area is further increased, the relationship between the two variables gradually became weaker.
While the Pearson correlation coefficient helps to identify and quantify the extent of correlations, they are sensitive only to a linear relationship between the two variables under consideration.
A value of zero suggests that there is no linear relationship between the two variables.
The correlation between the two variables is high (0.91; P value = 0.001) (Fig. 17).
However, as previously mentioned, we decided to explore potential nonlinear relationships between the two variables.
To do so, the correlation coefficient is computed between the two variables (( rho = 0.06) ).
Meanwhile, the correlation between the two variables may increase due to the effect of ENSO.
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between the planning variables
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