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makvit [3.9K]
3 years ago
8

Please help ; ) graph is linked to this post

Mathematics
1 answer:
Flura [38]3 years ago
6 0
The answer to the equation is Y=3f
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As students move to thinking about formulas it supports their conceptual knowledge of how the perimeter of rectangles can be put
kolezko [41]

Answer:

B. P=l+w

Step-by-step explanation:

Let l represent length of rectangle and w represent width of rectangle.

We have been given four formulas for the perimeter of rectangle. We are asked to choose the formula that displays a common student error for finding the perimeter.

We know that perimeter of a polygon is sum of all sides of the polygon. We also know that rectangle is polygon having two sets of equal sides.

The perimeter, P, of rectangle will be sum of its all sides that is:

P=l+w+l+w

Combine like terms:

P=2l+2w

Factor out 2:

P=2(l+w)

Upon looking at our given choices, we can see that formula represented by option B displays a common student error for finding the perimeter.

7 0
4 years ago
3(x+4)=18+x<br> please show work
rewona [7]

If X = 1 rhen it would be 3x5 so it would be 15 and for the other side X would have to be -3

3 0
3 years ago
Read 2 more answers
I need help ASAP with all. I CAN GIVE BRAINLIST.
Lady bird [3.3K]

Answer:

A) the unknown is 5

B) the unknown is also 5

C) unknown is 23

D) unknown is 19

Step-by-step explanation:

Hope this is right and helps!

5 0
3 years ago
Read 2 more answers
5/6 of 7 what is it. oopoo​
Westkost [7]

Answer:

5 5/6

Step-by-step explanation:

5/6 x 7 = 35/6 = 5 5/6

4 0
3 years ago
Arianna gathered data about the distance of 20 cities from the equator and the average hours of sunlight per day in December for
PilotLPTM [1.2K]
<h2>Answer</h2>

<u>Strong, negative correlation.</u>

<h2>Explanation</h2>

So with correlations, they have two categories that they fall under.

Firstly, they either fall under <u>positive</u> or <u>negative</u> correlation. It's as it seems: positive correlation coefficients are positive numbers, negative correlation coefficients are negative numbers. In this case, our correlation is <u>negative</u>.

Next, they either fall under <u>weak</u> or <u>strong</u> correlation. If the absolute value of the correlation coefficient is closer to zero, then it's considered a weak correlation. However, if the absolute value of the correlation coefficient is closer to one, then it's considered a strong correlation. In this case, the absolute value of -0.91 is 0.91, and since that is closer to 1 this means our correlation is <u>strong</u>.

6 0
3 years ago
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