In: Math
For a sample of eight bears, researchers measured the distances around the bears' chests and weighed the bears. Minitab was used to find that the value of the linear correlation coefficient is r=0.931 Using alphaα=0.05, determine if there is a linear correlation between chest size and weight. What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?
a. Is there a linear correlation between chest size and weight?
A.Yes, because the absolute value of r exceeds the critical value of 0.707
B.No, because the absolute value of r exceeds the critical value of 0.707.
C.Yes, because r falls between the critical values of −0.707 and 0.707.
D. The answer cannot be determined from the given information.
b. What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?
Solution:
Given:
Sample size =n = 8
the linear correlation coefficient is r = 0.931
α=0.05
We have to test if there is a linear correlation between chest size and weight.
Part a. Is there a linear correlation between chest size andweight?
Vs
Find r critical value:
df = n - 2 =8 -2 = 6
Two tailed area = α=0.05
r critical value = 0.707
Since r calculated = 0.931 > r critical value = 0.707, we reject null hypothesis H0.
Thus there is a linear correlation between chest size andweight.
Thus correct option is:
A.Yes, because the absolute value of r exceeds the
critical value of 0.707
Part b) What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?
Coefficient of determination = r2 gives the proportion of the variation in dependent variable by the regression equation.
Thus
Coefficient of determination = r2 = 0.9312
Coefficient of determination = r2 = 0.866761
Coefficient of determination = r2 = 0.8668
Coefficient of determination = r2 = 86.68%
Thus 86.68% or 0.8668 proportion of the variation in weight can be explained by the linear relationship between weight and chest size