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Eva8 [605]
3 years ago
5

a jet takes 5 and 3/4 hours to fly 2475 miles from New York City to Los Angeles about how many hours will it flying at the same

average rate take to fly 5452 miles from Los Angeles to Tokyo!
Mathematics
1 answer:
Ivan3 years ago
7 0
3423 is the answer....
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Pleaseeee helpppp needdd done asapppp…
34kurt

Answer:

90° rotational symmetry about the poiy(-1,0)

5 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
What is the slope of a line that is perpendicular to the line whose equation is 2x + y = 4
wel

The slope of the line of the equation given is -2 (by solving for y, you get y = -2x+4).


So, in order to be perpendicular, you must take the negative reciprocal.

The slope would be -1/2.

6 0
3 years ago
Read 2 more answers
Jess owns 4 red shirts, 5 blue shirts, and 3 white shirts. She chooses a shirt to wear at random. What is the probability that s
xxTIMURxx [149]
D is the answer because in total she has 12 shirts and 3 out of the twelve shirts are white. so find the percentage of 3/12 which i belive is 1/4 
7 0
3 years ago
What is the standard form of the polynomial: 9x(squared)+ 5x+27+2x(to the power of 3
REY [17]

Step-by-step explanation:

hope it's helpful.........

6 0
3 years ago
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