The two conclusions drawn can be
a)About 54% of the variation in distance that the driver can see is explained by a linear relationship with the driver's age.
b.) The correlation coefficient, r, is -0.736.
The coefficient of determination is denoted as the percent of the variance in the dependent variable that is predictable from the independent variable.
Given, r² = 0.542
That means 54% of the variation in distance that the driver can see is explained by a linear relationship with the driver's age.
Also, r = √0.542 = ±0.736 , where r determines the correlation coefficient.
As driver;s age increases the distance he can see decreases, so there is a negative correlation between them.
So r= -736.
Hence, The correlation coefficient, r, is -0.736.
The two conclusions drawn can be
a)About 54% of the variation in distance that the driver can see is explained by a linear relationship with the driver's age.
b.) The correlation coefficient, r, is -0.736.
To learn more about coefficient of determination refer here
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