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3 years ago

Use the intercept method to graph the equation y=-3

1 answer:

6 0

What if I write the equation like this:
y = zero x - 3.
Now you know that the slope of the line is zero and its y-intercept is -3.
That's a horizontal line that crosses the y-axis at -3. And just like the equation says, the value of 'y' doesn't depend on 'x'. It's -3 everywhere.

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Which equation below would be perpendicular to the line y = 2?

nadya68 [22]

Answer:
A) y=1/5x
Step-by-step explanation:
Coz, the way you identify a perpendicular line is by looking for its negative reciprocal. The neagtive reciprocal of 5= 1/5
Now, to check the ans we can multiply the negative reciprocal by "m"
(m in y=mx+c or y=mx+b)
in this case the "m" is stated as 5, so all we need to do is 1/5*5 if the ans is 1 then your ans is right....and over here it is
So thats how you identify & check perpendicular lines!

3 0

3 years ago

Read 2 more answers

Find the limit as x approaches infinity of y=arccos(1+x21+2x2)y=arccos((1+x^2)/(1+2x^2))?

Katyanochek1 [597]

If x approach infinity then (x² + 1)/(2x² +1) = 1/2 then lim as x approach infinity
lim y = arccos 1/2 = 1.047

6 0

3 years ago

How to change a number ten by rounding

Llana [10]

10 is already rounded

4 0

3 years ago

Read 2 more answers

I need help I’m bad at this algebra

GenaCL600 [577]

You should get the app Socratic

8 0

3 years ago

Determine mu subscript x overbarμx and sigma subscript x overbarσx from the given parameters of the population and the sample si

Alex

Answer:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

And replacing we got:

$\mu_{\bar X}= 32$

$\sigma_{\bar X} = \frac{77}{\sqrt{23}} =10.06$

Step-by-step explanation:

Previous concepts

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Let X the random variable who represents the variable of interest, with the following properties:

$\mu =32,\sigma =77$

We select a sample of n=23 nails.

From the central limit theorem we can approximate that the distribution for the sample mean $\bar X$ is given by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

And replacing we got:

$\mu_{\bar X}= 77$

$\sigma_{\bar X} = \frac{77}{\sqrt{23}} =10.06$

6 0

3 years ago