Dependency: A variable whose value depends on the value assigned to another variable (independent variable).
Correlation: The relationship between two or more variables is considered as correlation.
In statistics, when we talk about dependency, we are referring to any statistical relationship between two random variables or two sets of data. Correlation, on the other hand refers to any of a broad class of statistical relationships involving dependence.
Answer:
14%
Step-by-step explanation:
A way I usually do it is with a fraction setup.
280/2000 = ?/100
multiply 280 by 100, and you get 28000. divide this by 2000, and you get 14!
Answer:
11
13
15
23
Step-by-step explanation:
you substitute each x value in the table with the x in the equation
f(x)= 2x+13
f(x)= 2(-1)+13 .... repeat for each
Answer:
B, they are independent events separate from each other.
Step-by-step explanation:
Being born a female wouldn’t affect the colorization of the creature, they would both be independent events separate from each other.
Percent change = (new number - old number)/(old number) * 100
percent change = (54 - 48)/(48) * 100 = 6/48 * 100 = 0.125 * 100 = 12.5%
