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Alex
3 years ago
7

YOOO YOOO BADDIES ANSWER THESE QUESTION NOWWW Anise wants to have longer hair than her sister. Her sister's hair is 2.25 feet lo

ng. How long does Anise's hair have to
be? Which graph represents the scenario? PERIOD

Mathematics
2 answers:
Musya8 [376]3 years ago
7 0

Answer:

B

Step-by-step explanation:

i got it correct ;)

raketka [301]3 years ago
6 0

Answer:

B

Step-by-step explanation:

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May have to flip or look closely in order to see the question. Brainliest involved
Gwar [14]

Answer:

The answer is step 5

Step-by-step explanation:

flip the sign

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3 years ago
Quinn had $4.00. He spent 1/2​ of his money on a baseball card, 1/4 of it on a drink, and 1/8 of it on bubble gum. How much mone
Pepsi [2]

Answer:

$0.50

Step-by-step explanation:

He spent 2 on a card 1 on a drink and 1/2 on a piece of gum.

4 - (2+1+1/2) = 1/2

I am not sure it's correct.

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3 years ago
I need help please and quick.
bazaltina [42]

HERE IS YOUR ANSWER IN PICTURE...

8 0
3 years ago
4-13 Students in a management science class have just re- ceived their grades on the first test. The instructor has provided inf
inessss [21]

Answer:

a) y = 0.74x + 18.99; b) 80; c) r = 0.92, r² = 0.85; r² tells us that 85% of the variance in the dependent variable, the final average, is predictable from the independent variable, the first test score.

Step-by-step explanation:

For part a,

We first plot the data using a graphing calculator.  We then run a linear regression on the data.

In the form y = ax + b, we get an a value that rounds to 0.74 and a b value that rounds to 18.99.  This gives us the equation

y = 0.74x + 18.99.

For part b,

To find the final average of a student who made an 83 on the first test, we substitute 83 in place of x in our regression equation:

y = 0.74(83) + 18.99

y = 61.42 + 18.99 = 80.41

Rounded to the nearest percent, this is 80.

For part c,

The value of r is 0.92.  This tells us that the line is a 92% fit for the data.

The value of r² is 0.85.  This is the coefficient of determination; it tells us how much of the dependent variable can be predicted from the independent variable.

3 0
3 years ago
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