Answer:
<h2>A'(-1, -4)</h2>
Step-by-step explanation:
A(x, y)
reflected across the x-axis: A'(x, -y)
reflected across the y-axis: A''(-x, y)
We have A(1, 4)
reflected across the x-axis: (1, -4)
and then reflected across the y-axis: A'(-1, -4)
Answer: I don't see anything. Maybe upload some images?
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:
A
Step-by-step explanation:
Any number that have the | | symbol will automatically be positive
For example
| -5.8 | = 5.8