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const2013 [10]
3 years ago
6

Can someone explain how to do this.

Mathematics
1 answer:
PolarNik [594]3 years ago
4 0
You are have to do 7*2 and that is 49 and the you multiple that by 6 and you have to get 294 and then you have to subtract 2 from 5 which is 3 and you subtract 294 and 3 and get 291x.
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What equation defines a line that intersects the graph of 6x-2y=10 exactly once?
leva [86]

Any line with a slope different than 3 will intercept the given line only once.

<h3>What equation defines a line that intersects the graph?</h3>

The answer will be any line that is not parallel (nor the same) to the given line.

Remember two lines are parallel if the lines have the same slope and different y-intercept

In this case, the given linear equation is:

6x - 2y = 10

y = 3x - 5

So the slope is 3 and the y-intercept is -5.

Then, any line with a slope different than 3 will intercept this line only once.

An example can be:

y = 314*x

If you want to learn more about linear equations:

brainly.com/question/4025726

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6 0
2 years ago
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4 0
3 years ago
Read 2 more answers
When sampled, 135 out of 200 people said they were runners. If the sample was taken from a population of 17,000 people, which of
Korolek [52]
D.  11,475  (135/200= .675 =67.5 %) (67.5% x 17,000 = 11,475) 
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4 years ago
Solve the system of equations.
frozen [14]

Answer:

B:-(-2,6) is correct answer 100%

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3 years ago
A random sample of 65 high school seniors was selected from all high school seniors at a certain high school. The following scat
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The residual value comes out to be 2.94 cm and height is 157.06 cm

<u>Explanation:</u>

The regression equation is calculated at the first step.

height = 105.08 plus 2.599 multiply foot length

At foot length = 20cm, height = 105.08 plus 2.599 multiply 20

= 157.06 cm

Residual = Actual minus predicted value = 160 minus 157.06

=2.94 cm

B) The residual standard deviation generally gives  a sense of the goodness of fit of goodness of regression equation on our data. The magnitude tells us that how much will be predicted values from model will vary from actual values. the linear model is justified.

5 0
3 years ago
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