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stich3 [128]
3 years ago
12

Which undefined geometric term is described as a two-dimensional set of points that has no beginning or end?

Mathematics
2 answers:
Snezhnost [94]3 years ago
8 0

Answer:

Line

Step-by-step explanation:

In Geometry a line:

• is straight  

• is 2d no thickness

• extends in both directions without end and goes on forever

lisov135 [29]3 years ago
5 0

Answer:

Line

Step-by-step explanation:

a straight one- dimensional figure that has no thickness and extends endlessly in both directions. It is often described as the shortest distance between any two points.

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Find the value of x in the triangle shown below 2 10
OlgaM077 [116]

Answer:

the answer is A

Step-by-step explanation:

the Pythagorean theorem is a squared + b squared = c squared (c always being the hypotenuse and a and b being the legs. 2 (4) squared pus 10 (100) squared=104 then you would use the square root of 104. 104 does not have a whole number square so the answer is  \sqrt{104\\

5 0
3 years ago
Read 2 more answers
What is the slope of the line in the graph?
Triss [41]

Answer:

B

Step-by-step explanation:

The slope of a line is written as a fraction of the vertical distance to the horizontal distance. The line drops down from (0,1) to (4,-2). This is a vertical distance of -3 and a horizontal distance of 4. The slope if the fraction -3/4.

4 0
2 years ago
Which values are solutions to the inequality below?
RideAnS [48]
I have an answer!

ANSWER: [F] 36     Only 1 Answer!!!

No Explanation Provided!!!
4 0
3 years ago
Table below shows the age in years and the retail value in thousands of dollars of a random sample of ten automobiles of the sam
horrorfan [7]

Answer:

Step-by-step explanation:

Hello!

Given the study variables

X: Age of an automobile (years)

Y: Retail value of an automobile (thousands of dollars)

a) Construct a scatter diagram.

(attached image)

b) Compute the linear correlation coefficient r. Interpret its value in the context of the problem.

The formula for the correlation coefficient (Person) is:

r= \frac{sum(XY)-\frac{sum(X)*sum(Y)}{n} }{[sum(X^2)-\frac{(sum(X))^2}{n}] * [sum(Y^2)-\frac{(sum(Y))^2}{n} ] }

First you have to do some intermediate summatories:

∑x= 40

∑x²= 174

∑y= 246.30

∑y²= 6154.15

∑xy= 956.5

r= \frac{956.5-\frac{40*246.3}{10} }{[147-\frac{(40)^2}{10}] * [6154.15-\frac{(246.3)^2}{10} ] }

r= -0.818 ≅ 0.82

-0.82 indicates there is a strong negative linear correlation between the age of the automobiles and the retail price. Wich means that the older the car, the less it costs.

c) Compute the least squares regression line. Plot it on the scatter diagram.

Interpret the meaning of the slope of the least-squares regression line in the context of the problem.

The least squares regression line is Y= a + bX

To calculate the regression line you need to calculate the values of "a" and "b"

a= (\frac{sum(Y)}{n} ) -b(\frac{sum(X)}{n} )

a= (\frac{246.3}{10} ) -(-2.05)(\frac{40}{10} )

a= 32.83

b= \frac{sum(XY)-\frac{sum(X)*sum(Y)}{n} }{sum(X^2)-(\frac{sum(X)^2}{n})}

b= \frac{956.5-\frac{40*246.3}{10} }{174-(\frac{40^2}{10})}

b= -2.05

Y= 32.83 - 2.05X

Check attachment for graphic.

-2.05(\frac{years}{thousanfs of dollars}) is the modification of the estimated mean of the retail value of automobiles every time their age increases one year. In other words, every time the automobiles increase their age in one year, the price decreases 2.05 thousands of dollars.

e) Suppose a 20 -year-old automobile of this make and model is selected at random. Use the regression equation to predict its retail value. Interpret the result.

You need to calculate the value of Y for a value of X of 20 years. To do so you replace the values in the regression equation:

Y= 32.83 - 2.05(20)

Y= -8.17 thousands of dollars.

Under the model Y= 32.83 - 2.05X, a 20-year-old automobile has a retail price of -8.17 thousands of dollars.

This is mathematically correct even if it doesn't make sense in context.

f) Comment on the validity of using the regression equation to predict the price of a brand new automobile of this make and model.

You can only use the regression equation to predict possible values of Y for values of X that are between the range of definition of the variable. In this case, the variable is defined in numbers from 2 to 6 years.

You can predict values outside the range of definition of X but the further these values are from the definition range, the less accurate and imprecise the prediction is.

For example in question e) I've predicted the value of Y for X= 20 years, although I've obtained a result truth is that this prediction is not accurate nor reliable.

I hope it helps!

8 0
4 years ago
Write and inequality for the following statement: c is less than 6
Talja [164]

In order to solve this exercise you need to remember the following symbols in Inequalities:

1. The meaning of this symbol is "Greater than":

>

2. The meaning of this one is "Less than":

3. The following symbol means "Less than or equal to":

\le

4. And this one means "Greater than or equal to":

\ge

Knowing the above, you can determine that the statement "c is less than 6", can be written as the following inequality:

c

The answer is:

c

7 0
1 year ago
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