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3 years ago

8

SOMEONE PLEASE HELP

2 answers:

kobusy [5.1K]3 years ago

7 0

D.only lines p, q, and r are parallel to each other

AnnZ [28]3 years ago

6 0

Answer:

D) only lines p,q,r

Step-by-step explanation:

You do not need to know at what angle lines p, q, and r intersect line t to answer the question. Regardless of the angle, the three lines that intersect line t must be parallel to each other, but they cannot be parallel to the line they intersect. This means only lines p, q, and r must be parallel to each other.

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Answer: 3

Step-by-step explanation:

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3 years ago

A circle with a centre 0, has an equation x2 + y2 = 25

GaryK [48]

The linear equation of the tangent at point A is given by:

$y = \frac{-4x + 25}{3}$

<h3>What is a linear function?</h3>

A linear function is modeled by:

y = mx + b

In which:

m is the slope, which is the rate of change, that is, by how much y changes when x changes by 1.

b is the y-intercept, which is the value of y when x = 0, and can also be interpreted as the initial value of the function.

In this problem, to find the slope, we need to find the derivative at (4,3), using implicit differentiation. Hence:

$2x\frac{dx}{dx} + 2y\frac{dy}{dx} = 0$

$\frac{dy}{dx} = -\frac{x}{y}$

$\frac{dy}{dx} = -\frac{4}{3}$

Then:

$y = -\frac{4}{3}x + b$

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$y = -\frac{4}{3}x + b$

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Hence, the equation is:

$y = \frac{-4x + 25}{3}$

More can be learned about linear equations at brainly.com/question/24808124

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2 years ago

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Answer:

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4 0

3 years ago

Read 2 more answers

If sample variance is computed by dividing SS by df = n – 1, then the average value of the sample variances from all the possibl

boyakko [2]

Answer:

$s^2 = \frac{SS}{n-1}$

And if we take the average value of the sample variances from all the possible random samples we will get the population variance:

$\sigma =\frac{SS}{n}$

So then the best answer for this case would be:

The average value of the sample variances from all the possible random samples will be exactly the population variance

Step-by-step explanation:

For this case we can define the sum of squares with this formula:

$SS = \sum_{i=1}^n (X_i -\bar X)^2$

Where:

$\bar X =\frac{\sum_{i=1}^n X_i}{n}$

And we can find the sample variance with this formula:

$s^2 = \frac{SS}{n-1}$

And if we take the average value of the sample variances from all the possible random samples we will get the population variance:

$\sigma =\frac{SS}{n}$

So then the best answer for this case would be:

The average value of the sample variances from all the possible random samples will be exactly the population variance

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3 years ago

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3 years ago

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