Answer:
Step-by-step explanation:
By definition, the average rate of change of a function f over an interval [a,b] is given by
compute the quantity
for all the three function
Average rate of change of f:
We will simply use the table to check the values for f(3) and f(0):
Average rate of change of g:
We will use the graph to to check the values for g(3) and g(0):
Average rate of change of h:
We can plug the values in the equation to get h(3) and h(0):
And so the average rate of change is
Answer:
slope = - 1
Step-by-step explanation:
Calculate the slope m using the slope formula
m =
with (x₁, y₁ ) = (- 1, 4) and (x₂, y₂ ) = (2, 1)
m = =
= - 1
Answer:
A. ez
Step-by-step explanation:
_sequences_eoc_prep_solutions.pdf
SKATE OR DIE
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