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Dvinal [7]
3 years ago
12

an insurance company charges $25 initiation fee and $87 per month for renters insurance. if you have spent $547 to date, for how

many months have you had renter’s insurance? helpppppp
Mathematics
2 answers:
navik [9.2K]3 years ago
8 0

Answer:

6

Step-by-step explanation:

547-25=522

522 divided by the monthly payment of $87 is 6.

NISA [10]3 years ago
7 0

Answer:6 months

Step-by-step explanation:

If you subtract 547 by 25 you get 522 then you divide 522 by 87 and you get 6

You might be interested in
Round 3.255 to the nearest hundredth.
Oduvanchick [21]

Answer:

3.26

Step-by-step explanation:

if there is a five you round it up too 3.26

3 0
3 years ago
P and a are both prime numbers. Find the values of p and q so that 6*54*p/q is a perfect cube.
daser333 [38]

6x54= 324

6x50=300

6x4=24

300+24=324

The previous nearest cube root is 216 and the next cube root would be 343.

p/q could be any prime number which there are a lot of.

im going to say p is 1 and q is 3

next you would divide 1 by 3

1/3=0.666666667

324x0.666666667=216 exact

3 0
3 years ago
X*2+1=10 then x=? Tell me the value of x
Trava [24]

Answer:

<h2>4.5</h2>

Step-by-step explanation:

x \times 2 + 1 = 10

2x +  1 = 10

Move constant to R.H.S and change its sign

2x = 10 - 1

Subtract the numbers

2x = 9

Divide both sides of the equation by 2

\frac{2x}{2}  =  \frac{9}{2}

Calculate

x = 4.5

Hope this helps..

Best regards!!

6 0
3 years ago
A random sample of ten professional athletes produced the following data where x is the number of endorsements the player has an
lukranit [14]

ŷ= 1.795x +2.195 is the equation for the line of best fit for the data

<h3>How to use regression to find the equation for the line of best fit?</h3>

Consider the table in the image attached:

∑x = 29,  ∑y = 74, ∑x²= 125, ∑xy = 288,  n = 10 (number data points)

The linear regression equation is of the form:

ŷ = ax + b

where a and b are the slope and y-intercept respectively

a = ( n∑xy -(∑x)(∑y) ) / ( n∑x² - (∑x)² )

a  = (10×288 - 29×74) / ( 10×125-29² )

  = 2880-2146 / 1250-841

  = 734/409

  = 1.795

x' =  ∑x/n

x' = 29/10 = 2.9

y' = ∑y/n

y' = 74/10 = 7.4

b = y' - ax'

b = 7.4 - 1.795×2.9

  = 7.4 - 5.2055

  = 2.195

ŷ = ax + b

ŷ= 1.795x +2.195

Therefore,  the equation for the line of best fit for the data is ŷ= 1.795x +2.195

Learn more about regression equation on:

brainly.com/question/29394257

#SPJ1

3 0
1 year ago
E
8_murik_8 [283]
It was a 15 percent tip
8 0
3 years ago
Read 2 more answers
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