Answer:
(-1/2,-5/2)
Step-by-step explanation:
x-y = 2
x+y = -3
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Through Elimination, we can just add the system of equations. The y cancels out and gives us the single equation for x:
2x = -1
x = -1/2
Substitute -1/2 for x in either equation and you get:
(-1/2) + y = -3 Solve for y
y = -5/2
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Answer:
B) Jill omitted a factor pair, which affected the GCF and factored expression.
Step-by-step explanation:
Jill is factoring the expression 13xy-52y. Her work is shown below.
Factors of 13xy: 1, 13, x, y
Factors of 52y: 1, 2, 26, 52, y OOPSIE she forgot 4,13
GCF: y
Factored expression: y(13x-52) 13y (x-4)
I believe it is an imaginary number because imaginary numbers are square roots of negative numbers.
Answer:
use two points given or use rise over run
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