Answer:
what is the question what are you trying to say?
There could be a strong correlation between the proximity of the holiday season and the number of people who buy in the shopping centers.
It is known that when there are vacations people tend to frequent shopping centers more often than when they are busy with work or school.
Therefore, the proximity in the holiday season is related to the increase in the number of people who buy in the shopping centers.
This means that there is a strong correlation between both variables, since when one increases the other also does. This type of correlation is called positive. When, on the contrary, the increase of one variable causes the decrease of another variable, it is said that there is a negative correlation.
There are several coefficients that measure the degree of correlation (strong or weak), adapted to the nature of the data. The best known is the 'r' coefficient of Pearson correlation
A correlation is strong when the change in a variable x produces a significant change in a variable 'y'. In this case, the correlation coefficient r approaches | 1 |.
When the correlation between two variables is weak, the change of one causes a very slight and difficult to perceive change in the other variable. In this case, the correlation coefficient approaches zero
594 7/25 converted into decimal is 594.28, 89 37/100 converts to 89.37. Add 594.28 and 89.37 together and we get out final answer of 683.65. Convert that back into fraction form and we get (683 13/20) <--- Final Answer
Answer:
3/4
Step-by-step explanation:
8x = 6
x = other number = 6/8 = 3/4
Answer:
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