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Hatshy [7]
3 years ago
14

What is the mean absolute deviation for the data? 20,25,30,30,45

Mathematics
1 answer:
Ivan3 years ago
6 0
Add them all together the divide what you get by 5
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As fast as possible before today
andrezito [222]

I am writing answers directly.

<h3>1. 5×5=5 {}^{2}</h3><h3>2. -5×-5×-5×-5 = ( - 5) {}^{4}</h3><h3 /><h3>3. 2×2×2=2 {}^{3}</h3><h3>4. n×n×n×n×n×n=n {}^{6}</h3>
6 0
3 years ago
Any one pls helpp! i dont understand this???
ozzi

Answer:

X= 10, 20, 30, 40, 50, 60

Step-by-step explanation:thats

thats all i know

3 0
3 years ago
Read 2 more answers
If a globe rotates 150 degrees in 5 seconds, how many rotations does it make in 30 seconds? I got 900 seconds for my answer am I
Maksim231197 [3]

Start with a proportion, to get the number of degrees in 30 seconds:

         (150 degrees / 5 seconds) = ('D' degrees / 30 seconds) .

Cross multiply the proportion:  (150 x 30) = 5 x D

                                                     4,500  =  5 x D

Divide each side by  5 :                  900 = D

The globe turns 900 degrees in 30 seconds.

How many rotations is that ?
Each rotation is 360 degrees.
So 900 degrees is
                               (900 / 360) = <em>2.5 rotations</em> in 30 seconds.


8 0
3 years ago
A linear regression model is fitted to the data x y 37.0 65.0 36.4 67.2 35.8 70.3 34.3 71.9 33.7 73.8 32.1 75.7 31.5 77.9 with x
andrey2020 [161]

Answer:

b0= 144.59

b= -2.12

Se²= 1.02

99%CI E(Y/X=35): [68.78; 71.99]

Step-by-step explanation:

Hello!

I've arranged the given data:

X: 37.0, 36.4, 35.8, 34.3, 33.7, 32.1, 31.5

Y: 65.0, 67.2, 70.3, 71.9, 73.8, 75.7, 77.9

The equation of the linear regression model is:

Yi= β₀ + βXi + εi

Where

Yi is the dependent variable

Xi is the independent variable

εi represents the errors or residues

β₀ is the intercept of the line

β is the slope

The conditions to make a linear regression analysis are:

For each given value of X, there is a population of Y~N(μy;σy²)

Each value of Y is independent of the others.

The population variances of each population of Y are equal.

From these conditions the following characteristic is deduced:

εi~N(0;σ²)

The parameters of the regression are:

β₀, β, and σ²

If the conditions are met then you can estimate the regression line:

Yi= bo * bXi + ei.

And the point estimation of the parameters can be calculated using the formulas:

β₀ ⇒ b0= (∑y/n)-b(∑x/n)

β ⇒ b= [∑xy- ((∑x)(∑y))/n]/(∑x²-((∑x)²/n))

σ²⇒ Se²= 1/(n-2)*[∑y²-(∑y)²/n - b²(∑x²-(∑x)²/n)]

n= 7

∑y= 501.80

∑y²= 36097.88

∑x= 240.80

∑x²= 8310.44

∑xy= 17204.87

b0= 144.59

b= -2.12

Se²= 1.02

The estimated regression line is:

Yi= 144.59 -2.12Xi

You need to calculate a 99%CI E(Y/X=35), the formula is:

(b0 + bX0) ± t_{n-2;1-\alpha /2}*\sqrt{S_e^2(\frac{1}{n}+\frac{(X_0-X[bar])^2}{sumX^2-(\frac{(sumX)^2}{n} )} )}

(144.59 + (-2.12*35)) ± 4.032*\sqrt{1.02(\frac{1}{7}+\frac{(35-34.4)^2}{8310.44-(\frac{(240.80)^2}{7} )} )}

[68.78; 71.99]

With a 99% confidence level youd expect that the interval [68.78; 71.99] contains the true value of the average of Y when X= 35.

I hope it helps!

6 0
3 years ago
Which expression represents 25 times the sum of m and 3?
Lady bird [3.3K]

Answer:

25(m+3)

Step-by-step explanation:

25 is multiplied by (m+3)

'the sum of m and 3' is a quantity which must be indicated using parentheses

5 0
2 years ago
Read 2 more answers
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