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
Hello!
To solve algebraic equations, we need to first, simplify the common terms, and secondly use SADMEP. SADMEP is strictly used to solve algebraic equations, and is used like PEMDAS. SADMEP is an acronym for subtract, addition, division, multiplication, exponents, and parentheses.
25 - 4x = 15 - 3x + 1 - x (simplify the common terms)
25 - 4x = 16 - 4x (subtract 16 from both sides)
9 - 4x = -4x (add 4x to both sides)
9 = 0 → This means that there is no solutions.
Therefore, this equation has no solutions, which are contradictions because those are the equations with no solution.
(7 / 2 ) / 100
3.5 / 100
0.035
So your answer is 0.035
Answer:
Step-by-step explanation:
A. 16.6%
B. 16.6%
1/3 x 1/2 = .166 = 16.6%
Answer:
a bicyclist turning around a corner
Step-by-step explanation:
I got it right on edge
