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Morgarella [4.7K]
3 years ago
11

I already tried 15000 and it didn’t work I’m rlly bad at math so pls help✋

Mathematics
2 answers:
Mila [183]3 years ago
5 0

Answer:

80%

Step-by-step explanation:

60000/75000 = .8

.8 x 100 = 80%

MAXImum [283]3 years ago
4 0

Answer:

20% decrease

Step-by-step explanation:

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When you round a number to the nearest hundred you get 13,600 and when you round it to the nearest thousand you get 14,00.What w
Viefleur [7K]
The original number would be 13,555 .
6 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
Which statement best describe how buissnesses can take advantage of globilization ?
hodyreva [135]

Answer:

Using lower labor costs in other countries. This phenomenon has triggered the expansion of corporations towards developing countries where they can produce at a lower cost, increase their effectiveness and its potential to compete in prices.

Transporting resources quickly from distant locations. It is another feature that makes production processes more efficient.

Communicating more quickly with other countries, which also help businesses to make transactions much easier and quicker.

Step-by-step explanation:

The other two options are not selected because they describe phenomena which are actually the opposite to what globalization has brought. On the first hand, globalization has brought markets closer and many trade barriers have been removed. On the other hand, the possibility of having trade partners all over the world has incredibly increased the volume of transactions in total and with other countries.

7 0
4 years ago
0.9926 to the nearest tenth
BartSMP [9]

Answer:

Tenth = 1dp

0.9926

Look at the 2nd digit after the decimal place to see if you should round up or down. That digit is a 9. Therefore you round the first digit, 9, up.

0.9926 = 1.0 to 1dp

5 0
4 years ago
Read 2 more answers
Need helppp........!!!!!!!!!!
Varvara68 [4.7K]
I think b...............................
5 0
3 years ago
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