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Nonamiya [84]
3 years ago
15

Help please find the area of the figure A=bh

Mathematics
1 answer:
Anarel [89]3 years ago
7 0

Answer:

9

Step-by-step explanation:

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Help me please I’ll reward you with brainly
Valentin [98]

Answer:

You are correct! It is the answer you have selected in the picture!

Step-by-step explanation:

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4x4=16

-4x-4=16 too

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3 years ago
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Can someone help me on #7
schepotkina [342]
4(5a-8) = 20a - 32. 20a - 32 + 2a = 22a - 32, which is not equal to 12a - 6. Mary is wrong. 
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3 years ago
Help me please!! Geometry is my worse subject
Lerok [7]

Answer:

72 meters squared

Step-by-step explanation:

ABC or FED

(4 x 6)/2

18

FED + ACDF + ABC

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4 0
3 years ago
The correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. Suppose we use the height x
Andrew [12]

Answer:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}

The value of r is always between -1 \leq r \leq 1

And we have another measure related to the correlation coefficient called the R square and this value measures the % of variance explained between the two variables of interest, and for this case we have:

r^2 = 0.8^2 = 0.64

So then the best conclusion for this case would be:

c. the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64.

Step-by-step explanation:

For this case we know that the correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. And we know that we use the height x of a child to predict the weight y of the child

We need to rememeber that the correlation is a measure of dispersion of the data and is given by this formula:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}

The value of r is always between -1 \leq r \leq 1

And we have another measure related to the correlation coefficient called the R square and this value measures the % of variance explained between the two variables of interest, and for this case we have:

r^2 = 0.8^2 = 0.64

So then the best conclusion for this case would be:

c. the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64.

3 0
3 years ago
Find the quotient <br> 2/5÷3/4
nlexa [21]

Answer:

0.533

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
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