The rate of change from one variable (y) to another (x) is called the regression coefficient, and the further calculation can be defined as follows:
- The correlation coefficient is known as a statistical measure of the relationship among the relative movements of the two variables.
- The best fit line equation is \(\bold{Y = -4.75x + 88.571 }\) and the coefficient of correspondence is r= \(-0.906\).
\(\bold{y = ax + b}\\\\\bold{a = -4.75}\\\\\bold{b = -88.571} \\\\\bold{r^2 = 0.821}\\\\\bold{r = -0.906}\\\\\)
Therefore, \(\bold{Y = -4.75x + 88.571 }\) are the best fits line equation and the correlation coefficient again for data is \(-0.906\).
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