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
Answer:
the same as 1 and 2
Step-by-step explanation:
you should watch it care Fully and understand it's too esay .
Answer:
I'm sorry if I'm wrong but I'm pretty sure it is D) 6
Step-by-step explanation:
the ones who ate five or six had to eat four pieces before that
and there's 3 little x's for 4, 2 for 5, and 1 for 6
my second guess is 3 if you know for certain that your teacher wouldn't do that sort of thing
9x squared - 6x - 6x + 4
9x squared - 12x + 4
The constant variation of y=15x is 15 and the constant variation of y=8x is 8 :)