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SSSSS [86.1K]
4 years ago
12

Help please. 1.) 12x+9x+15x 2.) 7n+28-21m

Mathematics
2 answers:
alexgriva [62]4 years ago
6 0
1. 36x
2.-14nm + 28
Like terms
mixas84 [53]4 years ago
4 0

Answer:     1. 36x        2.− 21 m + 7 n + 28

Step-by-step explanation:

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The mass of a dust particle is 0.000000000753 kg. How would this number be written in scientific notation?
KengaRu [80]

7.53 \times {10}^{ - 10}
6 0
4 years ago
last summer at Camp okeefenokee the ratio of the number of a boy campers to the number of girl campers with 8:7. If there were a
Stels [109]
Number of boys=x
number of girls=y.

We can suggest this system of equations:
x/y=8/7                  ⇒x=8y/7
x+y=195

this system of equations can be solve by substitution method.

(8y/7)+y=195
least common multiple=7
8y+7y=1365
15y=1365
y=1365/15
y=91

x=8y/7
x=8*91 / 7
x=728/7
x=104

Answer: there were 104 boy campers and 91 girl campers.
6 0
3 years ago
Someone help...anyone
Colt1911 [192]

Answer:

y=6x is your answer

Have a good day Ahead

5 0
3 years ago
Read 2 more answers
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
Which division fact corresponds to the problem of 8×9 equals 72
kondor19780726 [428]
Basically just do the problem backwards.
72÷9=8
72÷8=9
7 0
4 years ago
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