A study of bone density on 5 random women at a hospital produced the following results.
Age | 53 | 57 | 61 | 69 | 73 |
---|---|---|---|---|---|
Bone Density | 355 | 350 | 345 | 325 | 315 |
Step 1 of 3 : Calculate the correlation coefficient, r. Round your answer to six decimal places.
Step 2 of 3: Determine if r is statistically significant at the 0.01 level.
Step 3 of 3: Calculate the coefficient of determination, r^2. Round your answer to three decimal places.
X :- Age
Y :- Bone density
ΣX = 313
ΣY = 1690
ΣX * Y = 105230
ΣX2 = 19869
ΣY2 = 572400
Step 1
r = -0.98972
Step 2
To Test :-
H0 :- ρ = 0
H1 :- ρ ≠ 0
Test Statistic :-
t = (r * √(n - 2) / (√(1 - r2))
t = ( -0.9897 * √(5 - 2) ) / (√(1 - 0.9795) )
t = -11.9726
Test Criteria :-
Reject null hypothesis if t < -t(α,n-2)
t(α/2,n-2) = t(0.01/2 , 5 - 2 ) = 5.841
t < -t(α/2, n-2) = -11.9726 < -5.841
Result :- Reject null hypothesis
Conclusion :- There is statistical correlation between
variables.
Step 3
Coefficient of Determination
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