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Ivahew [28]
3 years ago
14

A talent competition on television had five elimination rounds. After each elimination, only one-third of the contestants were s

ent to the next round. The table below shows the number of contestants in each round of the competition.
x12345
f(x)243812793


Compute the average rate of change of f(x) from x = 1 to x = 4 and describe what it represents.
Mathematics
2 answers:
denis-greek [22]3 years ago
8 0

Answer:

<em>Average rate of change is </em><em>-78.</em>

Step-by-step explanation:

A talent competition on television had five elimination rounds. After each elimination, only one-third of the contestants were sent to the next round.

The table that shows the number of contestants in each round of the competition is,

x     f(x)

1      243

2     81

3     27

4     9

5     3

Average rate of change is the change in the y-value divided by the change in the x-value for two points on the graph.

i.e \dfrac{f(x_2)-f(x_1)}{x_2-x_1}

So, the average rate of change of f(x) from x = 1 to x = 4 is,

=\dfrac{f(4)-f(1)}{4-1}

=\dfrac{9-243}{4-1}

=\dfrac{-234}{3}

=-78

Since f(x) is decreasing, so rate of change is negative.

Ugo [173]3 years ago
3 0
For the answer to the question above, 

Given the number of the contestants in each round:

X      1     2     3    4    5

F(x) 243  81  27   9     3

The rate of change can be calculated using y2-y1/x2-x1 formula. From rounds 1 to 4 the rate of change are

-162, -54, -18. And the average of it is -78 and it represents the average rate at which the number of contestants changed from the first round to the fourth round.

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The answer and how to do it
inessss [21]
Alright, here is how to do it:
First you are going to want to multiply 4x4. [That is Dino's Charges for 4 Sandwiches.] So once you've done that, you should get 16

Now, you're going to want to multiply 8x4. [That is Carla's charges for 4 Sandwiches.] So once you've done that, you should get 24.

Now, to find the difference you will have to subtract them. 24-16 = 18.
Now that we've done this we now know your answer is:
Carla's sandwiches cost more than Dino's sandwiches. The difference is 18 dollars.
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I hope I helped, if I did; please give me brainliest. :)
4 0
3 years ago
<img src="https://tex.z-dn.net/?f=%5Cfrac%7Bk%7D%7B3%7D%20-2k%20%2B4%20%3D10" id="TexFormula1" title="\frac{k}{3} -2k +4 =10" al
VikaD [51]

Answer:

fraction > -18/5

dec> -3.6

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
Please help and thank you
Diano4ka-milaya [45]

\sqrt{1600 \times 4}

40*2

= 80

Answer :C

7 0
3 years ago
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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
Please solve the equation and describe what mistake asif did
dolphi86 [110]
Hey
Here it is!!

8x+1=5
8x=4
x= 4/8
x=1/2
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3 years ago
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