Ask question

Ask question

All categories

3 years ago

10

What are line segments?

2 answers:

laiz [17]3 years ago

4 0

Answer:

In geometry, a line segment is a part of a line that is bounded by two distinct end points, and contains every point on the line between its endpoints. A closed line segment includes both endpoints, while an open line segment excludes both endpoints; a half-open line segment includes exactly one of the endpoints

Step-by-step explanation:

brilliants [131]3 years ago

4 0

Answer:

A line segment is part of a line that connects two points, it is also the shortest distance between the two points

Step-by-step explanation:

You might be interested in

Part 4. NO LINKS!! Find the area of the shaded area shown. SHOW WORK PLEASE !! #21

SIZIF [17.4K]

Area of square

32²
1024

Radius of each circle

32/4/2
8/2
4

Area of 16 circles

16πr²
16π(4)²
16π(16)
256π
803.8cm²

Area of shaded region

1024-803.8
220.2cm²

5 0

2 years ago

Read 2 more answers

Y-intercept: (0,<br> y=-2x2 – 16x – 34<br> What is the y intercept?

tekilochka [14]

Answer: Solve for Y

y = -16x - 38

And then y intercept is

(0, -38)

Step-by-step explanation:

8 0

2 years ago

Read 2 more answers

Simplify: 4x^2+36/4x•1/5x

user100 [1]

$\frac{4x^2+36}{4x}* \frac{1}{5x} = \frac{4(x^2+9)}{20x^2} = \frac{x^2+9}{5x^2}$

3 0

3 years ago

Read 2 more answers

How do you multiply 22.100 times 4.50

nirvana33 [79]

Answer:

Step-by-step explanation:

99.45 should be your answer

If you want me to show work let me know

6 0

3 years ago

A 90 percent confidence interval for the slope of a regression line is determined to be (-0.181, 1.529). Which of the following

GenaCL600 [577]

Answer: a. The correlation coefficient of the data is positive.

Step-by-step explanation:

Estimated slope of sample regression line = $\dfrac{Upper \ limit + lower\ limit}{2}$

Here , confidence interval : (-0.181, 1.529)

Estimated slope of sample regression line = $\dfrac{-0.181+1.529}{2}$

$=\dfrac{1.348}{2}\\\\=0.674\ \ \ \ [\text{ positive}]$

⇒Correlation coefficient(r) must be positive, So a. is true.

But, d. and e. are wrong(0.674 ≠ 0 or 1.348).

We cannot check residuals or its sum from confidence interval of slope of a regression line, so b is wrong.

We cannot say that scatterplot is linear as we cannot determine it from interval, so c. is wrong

So, the correct option : a. The correlation coefficient of the data is positive.

7 0

3 years ago