Answer:
12 pieces
Step-by-step explanation:
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 : (1,-1)
a line through the points (-1, 1), (0, 2), (1, 3)
To find the point in the graph of inverse function we interchange x and y values
For point (-1 , 1) , the point on inverse function is (1, -1)
For point (0 , 2) , the point on inverse function is (2, 0)
For point (1 , 3) , the point on inverse function is (3, 1)
so (1,-1) will be included in the graph of the inverse of the function
The area of the region that is not shaded in the diagram is determined through the following solution:
<span>A = <span>(1 − (<span><span>60°/</span><span>360°</span></span>)*</span>π) * (10 ft ) ^<span>2</span></span>
<span>A = <span>56*</span>π*100 [<span>ft2</span>]</span>
<span><span>A = <span>250/3 </span>π [<span>ft2</span>]
A = 262 [ft2]</span></span>
Answer:
2?
Step-by-step explanation: