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adell [148]
3 years ago
9

Use properties 24+28+26

Mathematics
1 answer:
kolbaska11 [484]3 years ago
8 0

Answer:

78

Step-by-step explanation:

add all the numbers to get 78

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Help me please ASAP please
Lemur [1.5K]
So 6.5 inches long in scale, but every 2 in is 5 yards.
Divide 6.5 by 2. This gives you 3.25. Then multiply by 5 to get yards.
It’s 16.25 yards long.
3 0
3 years ago
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Ms.Peralta's friend Mike is a construction worker. Mike gets paid $15 an hour. After working 9 hours he gets paid 1.25 times his
asambeis [7]

Answer:

Mike made $ 200.63 last Friday.

Step-by-step explanation:

Since Ms. Peralta's friend Mike is a construction worker who gets paid $ 15 an hour, and after working 9 hours he gets paid 1.25 times his hourly rate, and last Friday Mike worked for 5 hours - took an 1 hr and 15 minute break for lunch (does not count toward his work hours) - and worked for an additional 7.5 hours, to determine how much money did Mike make last Friday the following calculation must be performed:

5 + 7.5 = 12.5

12.5 - 9 = 3.5

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135 + 3.5 x 18.75 = X

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Therefore, Mike made $ 200.63 last Friday.

4 0
3 years ago
Pls, help me find x...
AveGali [126]

Answer:

x = 70 degrees

Step-by-step explanation:

The supplement of 105 is 75 degrees, and the other angle of the triangle is 35 degrees. So x = 180-75-35 = 70 degrees

4 0
2 years ago
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What is the standard deviation around the regression line?.
Triss [41]

Answer:

The standard deviation of the residuals calculates how much the data points spread around the regression line. The result is used to measure the error of the regression line's predictability.

Step-by-step explanation:

<h2>How do you find the standard deviation around the regression line?</h2>

STDEV. S(errors) = (SQRT(1 minus R-squared)) x STDEV. S(Y). So, if you know the standard deviation of Y, and you know the correlation between Y and X, you can figure out what the standard deviation of the errors would be be if you regressed Y on X.

<h2>What does standard deviation tell you?</h2>

A standard deviation (or σ) is a measure of how dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out.

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Svet_ta [14]

Answer:

28

Step-by-step explanation:

AB

4(7)=28

4 0
3 years ago
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