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=0.963. Using α=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? What is the test statistic? (round to three decimals)
n = 8
r = 0.963
Coefficient of Determination
Explained variation = 0.927* 100 = 92.7%
Unexplained variation = 1 - 0.927* 100 = 7.3%
To Test :-
H0 :-
H1 :-
Test Statistic :-
t = 8.755
Test Criteria :-
Reject null hypothesis if
Result :- Reject null hypothesis
Decision based on P value
P - value = P ( t > 8.7545 ) = 0.0001
Reject null hypothesis if P value <
level of significance
P - value = 0.0001 < 0.05 ,hence we reject null hypothesis
Conclusion :- We reject H0
There is statistically linear correlation between variables chest size and weight.
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