Respuesta :
The equation of the line of best fit is y = -4.75x + 88.571 and the correlation coefficient for the data that is shown is -0.906.
y = ax + b
a = -4.75
b = -88.571
r² = 0.821
r = -0.906
y = ax + b
a = -4.75
b = -88.571
r² = 0.821
r = -0.906

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 [tex]\bold{Y = -4.75x + 88.571 }[/tex] and the coefficient of correspondence is r= [tex]-0.906[/tex].
[tex]\bold{y = ax + b}\\\\\bold{a = -4.75}\\\\\bold{b = -88.571} \\\\\bold{r^2 = 0.821}\\\\\bold{r = -0.906}\\\\[/tex]
Therefore, [tex]\bold{Y = -4.75x + 88.571 }[/tex] are the best fits line equation and the correlation coefficient again for data is [tex]-0.906[/tex].
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