Answer:
The Answer is 2.
Step-by-step explanation:
Answer:
1 = A
2 = D
3 = B
4 = C
Step-by-step explanation:
Answer:
see below
Step-by-step explanation:
m<Q: 360-68-71-124= 97 degrees
m<Y: 360-95-46-74=145 degrees
m<K: 360-49-89-72=150 degrees
m<R: 360-98-65-69=128 degrees
m<C: 360-77-123-86=74 degrees
m<X: 360-135-105-67=53 degrees
m<T: 360-66-114-92=88 degrees
m<F: 360-146-91-75=48 degrees
Answer:
0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x
Step-by-step explanation:
Given the data in the question;
sample size n = 28
slope of the least squares regression line of y on x or sample estimate = 0.0623
standard error = 0.0224
95% confidence interval
level of significance ∝ = 1 - 95% = 1 - 0.95 = 0.05
degree of freedom df = n - 2 = 28 - 2 = 26
∴ the equation will be;
⇒ sample estimate ± ( t-test) ( standard error )
⇒ sample estimate ± (
) ( standard error )
⇒ sample estimate ± (
) ( standard error )
⇒ sample estimate ± (
) ( standard error )
{ from t table; (
) = 2.055529 = 2.056
so we substitute
⇒ 0.0623 ± ( 2.056 )( 0.0224 )
Therefore, 0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x