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ExtremeBDS [4]
2 years ago
15

Write an algebraic expression for the word phrase 8 times the product of Drag the word to the description it matches. Each word

may be used more than once
Mathematics
2 answers:
yawa3891 [41]2 years ago
5 0

Answer:

(8 . x)

Step-by-step explanation:

8 times the product of drag

LenKa [72]2 years ago
4 0

Answer:

the answer would be C, 8gh

Step-by-step explanation:

Hope this helps :)

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If the radius of a circle is 12cm, what is the diameter of the circle? *
Anika [276]

Answer:

24

Step-by-step explanation:

12 + 12 =24

Hah thats all i got to say lolololol

3 0
3 years ago
What does a residual value of 1. 3 mean when referring to the line of best fit of a data set? A data point is 1. 3 units above t
Darina [25.2K]

You can use the fact that a residual value is obtained by subtracting the prediction by the line of best fit from the actual data value we have.

The residual value 1.3 when referring to the line of best fit of a data set means:

Option B: A data point is 1.3 units below the line of best fit

<h3>What is a residual value and how is it calculated?</h3>

First of all, this whole story starts with data. We get data and we try to fit a line which can best imitate the way data is lying on the coordinate plane.

Remember that on a 2d coordinate cartesian plane, we have (x,y) called as point on plane and x is abscissa and y is called ordinate.

Let the best fit line be denoted by y = mx + c (assuming we're working with 2d data) with slope m and y-intercept c.

Now, this line is used to predict where can the next data point may lie.

When this best fit line is used to predict already present data point, we get the error that best fit line made when predicting the real data.

This is measured by "residual value"

For data point with ordinate b, we suppose get prediction as y

Then we have the residual value as y - b.

Remember, the prediction is before the real data point's ordinate.

<h3>How to know what does 1.3 residual value mean?</h3>

Let the real value be b and the predicted value be y from which this residual was calculated.

Then we have:

y - b = 1.3

y = 1.3 + b

Thus, we see that prediction is bigger than the real data point's y-ordinate. Since y axis has increasing value as we go higher and higher vertically, thus this prediction value's ordinate is higher than that of real value's ordinate.

The prediction, since shows the height of best fit line on that input point, thus we have:

Option B: A data point is 1.3 units below the line of best fit.

Learn more about line of best fit here:

brainly.com/question/2396661

8 0
2 years ago
250 squared to the nearest tenth
kap26 [50]
Its 125,000 because 250 squared is 125,000 cause of math. i really dont wanna go to school and life sucks:)
4 0
3 years ago
a boat is bringing a diver up at 25 feet per minute, the diver is currently at 200 feet, where was he 10 minutes ago ???
Sidana [21]

Answer:he was at -50 feet


Step-by-step explanation:

If he is going 25 feet per minute then you do 25x10 winch is 250 to see how far they have been total then since hes at 200 feet now you subtract 250 from 200 and you get your answer

5 0
3 years ago
an arc welder provides 250 amps of current when operating with a voltage of 40 volts. what is the power required by this welder
FinnZ [79.3K]
The power(P) of the circuits is the product of the voltage (V) in volts and current(I) in amperes. 
                                        P = IV

Substituting the known values to the equation,
                                     P = (250 amps) x (40 volts) = 10,000 Watts

Thus, the answer is 10,000 Watts. 

3 0
2 years ago
Read 2 more answers
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