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3 years ago

9

a class survey showed 8 out of 25 students had plans to travel over spring break. how many students out of the 400 students in t

he entire school would you expect to be traveling over spring break?

1 answer:

tangare [24]3 years ago

5 0

Traveling : total
8 : 25
x : 400

25 x 4 = 400 so 8 x 4 = 40 so the answer is 40.

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He graph of the function f(x) = –(x + 6)(x + 2) is shown below.

Molodets [167]

The domain of the function is all real numbers, the range of a function is y ≤ 4

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

It is defined as a special type of relationship, and they have a predefined domain and range according to the function every value in the domain is related to exactly one value in the range.

We have a function:

f(x) = –(x + 6)(x + 2)

If we plot this function on the coordinate plane, we will see it is a graph of a quadratic function.

Here the no other details are given.

But we can say:

The domain of the function is all real numbers.
The range of a function is y ≤ 4
The x-axis intercept will be at (-6, 0) and (-2, 0).

Thus, the domain of the function is all real numbers, the range of a function is y ≤ 4

Learn more about the function here:

brainly.com/question/5245372

#SPJ1

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2 years ago

Is it necessary to do all of the calculations to determine the sign of the product? Why or why not?

Aleksandr-060686 [28]

Answer:

= (- 475)

Step-by-step explanation:

Given:

(-5) × (-5) × ... × (-5) = (-5)95

Find:

Sign of the product

Computation:

(-5) × (-5) × ... × (-5) = (-5)95

= (- 475)

No, it is not compulsory to do all calculation to find sigh of product

Negative number × odd time = Negative number

Negative number × even time = Positive number number

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4 years ago

Add 19 to me. Then subtract 4. If you divide me by 3 and then

Misha Larkins [42]

Answer:

Step-by-step explanation:

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3 years ago

Easy Word Problem

Ann [662]

Answer:

D. 2.65 because it is the slope

Step-by-step explanation:

8 0

3 years ago

Read 2 more answers

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