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
Answer:
━☆゚.*・。゚X>6
Step-by-step explanation:
Here,X is greater than 6
Answer:
Step-by-step explanation:
<u>Use the graph to answer the following questions:</u>
When did she start using her phone?
When did she start charging her phone?
While she was using her phone, at what rate was Lin’s phone battery dying?
<u>From 100% to 40% between 2PM and 4 PM:</u>
- (100 - 40)/(4 - 2) = 60/2 = 30% per hour
8*4=32 :) I hope this helps!