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Alex73 [517]
2 years ago
11

URGENT!!!!!!!! 40 POINTS AND BRAINLIEST!!!!!!!!

Mathematics
2 answers:
gayaneshka [121]2 years ago
8 0

Answer:

its c because parallel lines are lines  that are always the same distance apart all of these are the same distance apart

hoped this helped let me know if it did

Agata [3.3K]2 years ago
7 0

Answer:

D

Step-by-step explanation:

Both are parrelel

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FromTheMoon [43]

Answer:way to much

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
What's the answer to this
shutvik [7]

you would first have to multiply 20% by 3.24 and then youll get 0.648 then you subtract 3.24 by 0.648 and get 2.60. Then multiply 20% by 3.99 and get 0.798 then subtract 3.99 by 0.798 and get 3.19 then add 2.60 with 3.19 to get 5.79. 5.79 is how much she spent with 20% off

3 0
2 years ago
A line that includes the points 
timofeeve [1]

Answer:

p = -12

Step-by-step explanation:

I used graph paper to graph point (-7,-6) then i used the slope to continue to graph the rest of the points until i got to (-1,-12).

7 0
3 years ago
How do you answer this?
lidiya [134]
(a + b)^3 = a^3 + 3a^2b + 3ab^2+ b^3 
(a +(- b))^3 = (a-b)^2 =  a^3 - 3a^2b + 3ab^2- b^3  
7 0
3 years ago
A professor obtains SAT scores and freshman GPA for a group of 15 college students with the hope that she can predict GPA using
kramer

The hypothesis test analyzes the null and alternative hypothesis of the

plausibility of a correlation between the SAT scores and GPA.

  • The hypothesis test that would be appropriate is <u>a hypothesis test that checks that the slope of the regression line is not zero</u>.

Reasons:

The data collected by the professor = The scores of the college students

The type of scores collected = SAT scores, and GPA scores

The test that would be appropriate for the example, is the  test for the

existence of a significant linear relationship between the input variable

(the SAT scores) and the output variable (the GPA)

The test is known as <u>the test for the slope of the regression line</u>

The equation of the regression line is; Y = B₀ + B₁·X

Where;

Y = The value of the GPA score (The dependent variable)

X = The value of the SAT score (The independent variable)

The test aims to check that the value the slope of the regression line is

much different from zero, such that there exist a correlation.

Learn more about hypothesis test for linear regression here:

brainly.com/question/13938204

4 0
2 years ago
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