Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information:
x | 1 | 2 | 3 | 4 | 5 |
y | 13.0 | 20.5 | 14.4 | 19.6 | 20.0 |
Σx = 15; Σy = 87.5; Σx2 = 55; Σy2 = 1580.77; Σxy = 275.6
Conclusion
Reject the null hypothesis, there is sufficient evidence that ρ > 0.Reject the null hypothesis, there is insufficient evidence that ρ > 0. Fail to reject the null hypothesis, there is sufficient evidence that ρ > 0.Fail to reject the null hypothesis, there is insufficient evidence that ρ > 0.
(e) Given the result from part (c), is it practical to find
estimates of y for a given x value based on the
least-squares line model? Explain.
Given the significance of r, prediction from the least-squares model is practical.Given the lack of significance of r, prediction from the least-squares model might be misleading. Given the lack of significance of r, prediction from the least-squares model is practical.Given the significance of r, prediction from the least-squares model might be misleading
To Test :-
H0 :- ρ = 0
H1 :- ρ > 0
Test Statistic :-
t = (r * √(n - 2) / (√(1 - r2))
t = ( 0.5887 * √(5 - 2) ) / (√(1 - 0.3465) )
t = 1.2613
Test Criteria :-
Reject null hypothesis if t > t(α)
t(α,n-2) = t(0.05 , 5 - 2 ) = 2.3534
t < t(α, n-2) = 1.2613 < 2.3534
Result :- We Accept H1
Decision based on P value
P - value = P ( t > 1.2613 ) = 0.1482
Reject null hypothesis if P value < α = 0.05 level of
significance
P - value = 0.1482 > 0.05 ,hence we fail to reject null
hypothesis
Conclusion :- We Accept H1
Fail to reject the null hypothesis, there is insufficient evidence that ρ > 0.
Part e)
Given the lack of significance of r, prediction from the least-squares model might be misleading.
Get Answers For Free
Most questions answered within 1 hours.