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marin [14]
3 years ago
5

Given a set of data with the Regression Line: y = 3.5x + 18.5

Mathematics
1 answer:
Tomtit [17]3 years ago
4 0

Answer:

1.5

Step-by-step explanation:

y=3.5*100+18.5=368.5\\rv=370-368.5=1.5

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For the following geometric sequence find the recursive formula and the 5th term in the sequence. In your final answer, explain.
VashaNatasha [74]

you have to multiply by -3

so the answers are going to be one negative one positive

and the next 5th terms are 108,-324,972,-2916,8748


7 0
3 years ago
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Jon makes a map of his neighborhood for a presentation. The scale of his map is 1inch:250 feet, How many feet do 6.5 inches repr
anygoal [31]
B 1625

250×6.5 equals B
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3 years ago
PLEASE HELP ASAP WILL MEDAL BRAINLIEST
Naddik [55]
Given
Present investment, P = 22000
APR, r = 0.0525
compounding time = 10 years
Future amount, A 

A. compounded annually
n=10*1=10
i=r=0.0525
A=P(1+i)^n
=22000(1+0.0525)^10
=36698.11

B. compounded quarterly
n=10*4=40
i=r/4=0.0525/4
A=P(1+i)^n
=22000*(1+0.0525/4)^40
=37063.29


Therefore, by compounding quarterly, she will get, at the end of 10 years investment, an additional amount of
37063.29-36698.11
=$365.18

5 0
3 years ago
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spayn [35]
Okay thanks I’ll try to help you
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3 years ago
Which sets of ordered pairs are from linear functions? Select the TWO answers that apply. Group of answer choices {(0,1),(1,2),(
Karo-lina-s [1.5K]

Answer:

  • {(0,1),(1,2),(2,3),(3,4)}
  • {(0,4),(1,6),(3,10),(5,14)}

Step-by-step explanation:

When x-differences are the same, y-differences will be the same for a linear function. When they are not the same, they will be proportional for a linear function.

{(0,1),(1,2),(2,3),(3,4)} - x-differences are all the same; y-differences are all 1 (linear, y=x+1)

{(0,0),(1,1),(2,4),(3,9)} - x-differences are all the same; y-differences increase (this is a quadratic function: y=x^2)

{(1,1),(2,8),(3,27),(4,64)} - x-differences are all the same; y-differences increase (this is a cubic function: y=x^3)

{(0,4),(1,6),(3,10),(5,14)} - x-differences are 1, 2, 2; y-differences are 2, 4, 4, so are proportional to (double) the x-differences (linear; y=2x+4)

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3 years ago
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