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4 years ago

15

Need help worth 34 points!

2 answers:

exis [7]4 years ago

6 0

x + y = 3
- x - x
y = -x + 3

y - y₁ = m(x - x₁)
y - (-1) = -1[x - (-1)]
y + 1 = -1(x + 1)
y + 1 = -1(x) - 1(1)
y + 1 = -x - 1
- 1 - 1
y = -x - 2

The answer is B.

NikAS [45]4 years ago

6 0

Answer:

the answer is b

Step-by-step explanation:

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the perimeter of an equilateral triangle is 39 centimeters. What is the length of an altitude of the triangle ?

victus00 [196]

Answer: $h = 11.26cm$

Step-by-step explanation:

Equilateral triangle has equal sides, let the side be $xcm$ , then the perimeter is $3x$

Therefore:

$3x = 39$

$x = 39/3$

$x = 13cm$

To find the altitude , we will apply Pythagoras theorem , that is

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$h^{2}=13^{2}-6.5^{2}$

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3 years ago

An equilateral triangle has a side length of 16 cm work out the area of the triangle.

bonufazy [111]

Answer:

128cm²

Step-by-step explanation:

A=½×b×h

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A=128cm²

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3 years ago

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3. Please show your work to find the mean and standard deviation of the data. Round to the nearest tenth.

Ainat [17]

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3 years ago

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antoniya [11.8K]

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3 years ago

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Lemur [1.5K]

Step-by-step explanation:

Regression analysis is used to infer about the relationship between two or more variables.

The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.

<u>Method 1:</u>

Using regression analysis the line of best fit is: $y=\alpha +\beta x+e$

Here <em>α </em>= intercept, <em>β</em> = slope and <em>e</em> = error.

The formula to compute the intercept is:

$\alpha =\bar y-\beta \bar x$

Here<em> </em> $\bar y$ and $\bar x$ are mean of the <em>y</em> and <em>x</em> values respectively.

$\bar y=\frac{\sum y_{i}}{n} \\\bar x=\frac{\sum x_{i}}{n}$

The formula to compute the slope is:

$\beta =\frac{\sum (x-\bar x)(y - \bar y)}{\sum (x=\bar x)^{2}}$

And the formula to compute the error is:

$e=y-\alpha -\beta x$

<u>Method 2:</u>

The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.

The equation of the line of best fit is:

$(y-\bar y)=r\frac{\sigma_{x}}{\sigma_{y}} (x-\bar x)$

Here <em>r</em> = correlation coefficient = $r=\frac{Cov (x,y)}{\sqrt{\sigma^{2}_{x}\sigma^{2}_{y}} }$

$\sigma_{x}$ and $\sigma_{y}$ are standard deviation of <em>x</em> and <em>y</em> respectively.

$\sigma_{x}=\frac{1}{n}\sum (x-\bar x)^{2} \\\sigma_{y}=\frac{1}{n}\sum (y-\bar y)^{2}$

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3 years ago