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viktelen [127]
3 years ago
10

Just a quick question.

Mathematics
1 answer:
Wittaler [7]3 years ago
4 0
$250. Hope this helps :)
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cynthia invests some money in a bank which pays 5% compound interest per year. She wants it to be worth over £8000 at the end of
exis [7]

Answer:

The smallest amount is \£6,911

Step-by-step explanation:

we know that    

The compound interest formula is equal to  

A=P(1+\frac{r}{n})^{nt}  

where  

A is the Final Investment Value  

P is the Principal amount of money to be invested  

r is the rate of interest  in decimal

t is Number of Time Periods  

n is the number of times interest is compounded per year

in this problem we have  

t=3\ years\\ A=\£8,000\\ r=5\%=5/100=0.05\\n=1  

substitute in the formula above

8,000=P(1+\frac{0.05}{1})^{1*3}  

solve for P

8,000=P(1.05)^{3}  

P=8,000/(1.05)^{3}  

P=\£6,910.70  

Round to the nearest pound she can invest

The smallest amount is \£6,911

6 0
3 years ago
Please help.<br> Is algebra.<br> PLEASE HELP NO LINKS OR FILES
Pavel [41]

Answer:

2a

-5x^{2}

Step-by-step explanation:

7 0
3 years ago
-4/5(-8x+6)=1+7 Please Help
bagirrra123 [75]

Answer:

x = 2

Step-by-step explanation:

-4/5(-8x + 6) = 1 + 7 (distribute first)

6.4x -4.8 = 8 (add 4.8 on both sides)

6.4x = 12.8 (divide by 6.4)

x = 2

PLUG IN

-4/5(-8(2) + 6) = 1 + 7

-4/5(-16 + 6) = 8

-4/5(-10) = 8

8 = 8

8 0
3 years ago
A miniature golf course has a special group rate. You can pay $20 plus $3 per person when you have a group of 5 or more friends.
Natasha2012 [34]

1 - Dependent Variable

2- 3x + 20 = 35

7 0
3 years ago
In a multiple regression analysis what would likely be the culprit of a dramatic increase in the P-value of one of the variables
makvit [3.9K]
This can happen if you add another independent variable to your regression model that is strongly correlated to some other variable already in the model.
This is called multicollinearity. 
If there is a high correlation between your independent variables can lead to problems.
<span>It can lead to increased variance of the coefficient estimates and make the estimates very sensitive to minor changes in the model.</span>
6 0
3 years ago
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