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Crank
3 years ago
13

Zander was given two functions: the one represented

Mathematics
2 answers:
kherson [118]3 years ago
5 0

Answer:

C is the answer

Step-by-step explanation:

spin [16.1K]3 years ago
3 0

Answer:

They have the same y-intercept

Step-by-step explanation:

I got it right

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What part of 1.25 cm is 0.5 cm?
Kisachek [45]

Answer:

I dont know if you mean .05, but if you do mean that it would be the hundredths place. (if this isnt the right one I'm sorry.)

5 0
3 years ago
Read 2 more answers
If 16 counters is 4/9 what is the ONE?
klemol [59]
(4/9)/16 = 4/(9*16) = 4/(4*4*9) = 1/(4*9) = 1/36

One counter is \frac{1}{36}<span> if 16 of them are </span>\frac{4}{9}
5 0
3 years ago
Can someone help me on this
nydimaria [60]

Answer:

10√3 feet

Step-by-step explanation:

In a 30-60-90 triangle;

-Long leg = long leg

-Short leg = 1/2 * long leg

-2nd longest leg = short leg * √3

-Long leg = 20

-Short leg = 1/2 * long leg = 10

-2nd longest leg = short leg * √3 = 10√3

8 0
3 years ago
Read 2 more answers
What is the value of x?? ​
Fudgin [204]

Answer:

x + 5 = 5×

7x - 5 = 2x

5x + 2x + x = 180

<u>8</u><u>×</u><u> </u> = 180

8 8

x = 22.5

3 0
3 years ago
Think of a problem dealing with two possibly related variables (Y and X) that you may be interested in. Share your problem and d
nata0808 [166]

Answer:

Explained below.

Step-by-step explanation:

Consider the variables height and weight.

It is usually seen that taller people are heavier than shorter people.

So a regression analysis can be used to specify this belief.

The statistical questions that are being asked here are:

  • What the independent and dependent variables?
  • Are there any other factor influencing the dependent variable other than the independent variable?

The variable <em>Y</em> is considered as the dependent variable and the variable <em>Y</em> is considered as the independent variable.  And the main purpose of the regression analysis is to predict the value of <em>Y</em> when the value of <em>X</em> is given.

The linear regression model can be used to predict the past and future value of the dependent variables provided that the independent variables for those times are provided.

5 0
3 years ago
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