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:
C.
Step-by-step explanation:
The answer to your question would be C. No, the data values in each class could take on any value between the class limits, inclusive.
I hope it helps! Have a great day!
Muffin~
The equation is Y= 2x + 4
Answer:
Step-by-step explanation:
Given:
The given inequality is:
The given inequality has variable 'x' on both sides of the inequality.
In order to solve such inequalities, we bring the variables on the same side as the first step in solving for 'x'.
Therefore, we could either add 
on both sides or add 
both sides to bring the variable terms on same side.
If we add both sides, we get:
So, among all the given options, third option matches the above inequality.
Therefore, the first step in solving the given inequality is
