The correlation coefficient is -0.12 and the line of the best fit is y = -0.11x + 385.50
What is correlation?
It is defined as the relation between two variables which is a quantitative type and gives an idea about the direction of these two variables.
[tex]\rm r = \dfrac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{{[n\sum x^2- (\sum x)^2]}}\sqrt{[n\sum y^2- (\sum y)^2]}}[/tex]
From the table, the value of r:
r = -0.12
The negative correlation exist between year and time.
Since the value of r is not near the -1 or -1 we can say the relation is very weak.
The line of best fit:
y = mx + c
m = -0.11
c = 385.50
y = -0.11x + 385.50
Thus, the correlation coefficient is -0.12 and the line of the best fit is y = -0.11x + 385.50
Learn more about the correlation here:
brainly.com/question/11705632
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