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Lilit [14]
3 years ago
6

45 is what percent of 90

Mathematics
2 answers:
ira [324]3 years ago
8 0

Answer:

45 is 50% of 90.............

Valentin [98]3 years ago
5 0
45 is 50 percent that is correct
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1/4 divided by 5/9 =?<br> In simplest form
Karolina [17]

Answer:

9/20

Step-by-step explanation:

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3 years ago
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HELP!? ✋
Korolek [52]
All of them are strategies for preventing cancer
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Simplify. <br><br> 4√6+2√6−√6<br><br> A- 5√18<br> B-5√6<br> C-6√6<br> D- 6√18
Aleksandr [31]

Answer:

B

Step-by-step explanation:

Simplifying radicals is similar to collecting like terms in algebra.

Here, the like terms are the radicals

Given

4\sqrt{6} + 2\sqrt{6} - \sqrt{6}

= \sqrt{6}(4 + 2 - 1 )

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3 years ago
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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
What is the slope of 2x-3y+7=0
Alex777 [14]
2x-3y+7=0 -- add 3y to both sides
3y=2x+7 -- divide by 3
y=2x/3 +7/3

The gradient is 2/3
5 0
3 years ago
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