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Andrei [34K]
4 years ago
15

Please help! 15 points!!

Mathematics
2 answers:
solmaris [256]3 years ago
7 0
I'm not sure if it's right, but I think the answer is 648.
nlexa [21]3 years ago
4 0
Answer 648 :)))))))))))))
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I need help I can't figure out how to do this. I have to find the value of v. 4/5(v−7)=2
Nina [5.8K]
9.5 because 9.5-7 is 2.5. 2.5 times 4/5 is 10/5 which is equivalent to 2. 4/5(2.5-7)=2
7 0
3 years ago
Juanita is a basketball player who makes
Sedaia [141]

Answer: Juanita shoots a series 5 free-throws. Let M = the number of free-throws she makes.

Step-by-step explanation: Khan

6 0
3 years ago
What is the answer, Shelby made 5 quarts of juice for a picnic. How many cups of juice did shelby make?
Anvisha [2.4K]

Given, Shelby made 5 quarts of juice for a picnic.

We know that 1 quart of juice = 4 cups of juice.

Here we will have to convert 5 quarts to cups.

As for 1 quart there are 4 cups, to find 5 quarts we have to multiply 4 times 5.

So 5 quarts of juice = (4)(5) cups of juice.

We know that, (4)(5) = 20

5 quarts of juice = 20 cups of juice.

We have got the required answer here.

Shelby made 20 cups of juice there in the picnic.


7 0
3 years ago
Read 2 more answers
While in France, Judy wants to sign up for a bike tour to see the countryside. She likes a tour that is 40 kilometers long, but
Sonja [21]

Answer:

24 miles

Step-by-step explanation:

In order to calculate Judy's estimation, we would simply have to multiply the actual distance in kilometers of the tour by the number of miles that Judy believes are in a single mile. This would give us Judy's estimation for how long the tour would be in miles.

40 km. * 0.6 miles = 24 miles

Finally, we can see that Judy's estimation would be that the tour is 24 miles long. Using Judy's believed conversion rate.

8 0
3 years ago
Find the LinReg line of best fit for this data set.
finlep [7]

The LinReg line of best fit for this data set is ŷ = -1.24X + 0.66

<h3>What is regression line?</h3>

A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable.

Given:

(−5, 6.3),

(−4, 5.6),

(−3, 4.8),

(−2, 3.1),

(−1, 2.5),

(0, 1.0),

(1, −1.4)

Sum of X = -14

Sum of Y = 21.9

Mean X = -2

Mean Y = 3.1286

Sum of squares (SSX) = 28

Sum of products (SP) = -34.6

Regression Equation,

ŷ = bX + a

b = SP/SSX = -34.6/28 = -1.23571

a = MY - bMX = 3.13 - (-1.24*-2) = 0.65714

ŷ = -1.23571X + 0.65714

ŷ = -1.24X + 0.66

Learn more about regression line here:

brainly.com/question/7656407

#SPJ1

3 0
2 years ago
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