Ah, the relationship between x and y variables is like a happy little dance on the canvas of life. Sometimes they move together in harmony, showing a positive correlation. Other times, they may move in opposite directions, indicating a negative correlation. Just remember, whether they're close friends or distant acquaintances, each variable brings its own unique color to the beautiful painting of your data.
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Oh, dude, the relationship between x and y variables is like that awkward dance move you do at a wedding - sometimes they move together (positive correlation), sometimes they move in opposite directions (negative correlation), and sometimes they're just chilling with no clear pattern (no correlation). It's like trying to predict if your friend will finish their Pizza before you finish yours - sometimes it's obvious, sometimes it's a mystery. So, yeah, the relationship between x and y variables can be a wild ride, just like life, man.
Often the x variable is the independent variable and the y variable depends on x.
A variable is a single term that is free to change its value. A formula is a relationship between terms which describes one variable in terms of several others, which usually has 1 variable on the left hand side, and at least 1 on the other side. For example (if x and y are variables, then y = x² is a formula of y in terms of x).
if X lies between 6&12 and Y lies between 24&36 the Y/X will ie between
x=y
A variable Y is said to increase linearly with another variable X if every increase of a fixed amount in X results in another fixed increase in Y. In terms of a graph, the relationship is a straight line.
You can tell which is the independent variable and which is the dependent variable by changing the equation into an "if/then" statement. Example: y = 3x In this example, x is the independent variable and y is the dependent variable. If you give me x, I will tell you y. If x = 1, then y = 3 If x = 2, then y = 6 So you give me the independent variable, and then I will be able to determine the dependent variable.