the relationship between two variables when?
70468
The statistical relationship between two variables is referred to as their correlation. A correlation could be positive, meaning both variables move in the same direction, or negative, meaning that when one variable's value increases, the other variables' values decrease.
493656
The relationship between the independent and dependent variables is said to be "explained away" by the control variable. Bivariate tables that display the relationship between the independent and dependent variables while controlling for a third variable.
278441
There are two lines of regression- that of Y on X and X on Y. The line of regression of Y on X is given by Y = a + bX where a and b are unknown constants known as intercept and slope of the equation. This is used to predict the unknown value of variable Y when value of variable X is known.
777556
The strength of a relationship between two variables is indicated by the absolute value of the correlation coefficient. The correlation between car weight and reliability has an absolute value of 0.30.
1194588
These two variables are used alongside each other, and a change in the independent variable will translate to a change in the dependent variable. That is, they are similar in the sense that they change at the same time.
966366
['A variable is any quantity that you are able to measure in some way. ... ', 'An independent variable is the variable the experimenter controls. ... ', 'A dependent variable is the measurement that changes in response to what you changed in the experiment.']
736883
A linear relationship is one where increasing or decreasing one variable n times will cause a corresponding increase or decrease of n times in the other variable too. In simpler words, if you double one variable, the other will double as well.
229360
A linear relationship (or linear association) is a statistical term used to describe a straight-line relationship between two variables. Linear relationships can be expressed either in a graphical format or as a mathematical equation of the form y = mx + b. Linear relationships are fairly common in daily life.
97547
A function defines one variable in terms of another. The statement "y is a function of x" (denoted y = y(x)) means that y varies according to whatever value x takes on. A causal relationship is often implied (i.e. "x causes y"), but does not *necessarily* exist.
7036
“What is a relationship between two numbers?” means. “What do I have to do to some number (let's call it x), in order to get y?” The relationship between 2 numbers is defined by the transformation process that transforms the input number (x) into the output number (y).
196252
A hypothesis states a presumed relationship between two variables in a way that can be tested with empirical data. It may take the form of a cause-effect statement, or an "if x,...then y" statement. The cause is called the independent variable; and the effect is called the dependent variable.
332846
The direction of the relationship between two variables is identified by the sign of the correlation coefficient for the variables. Postive relationships have a "plus" sign, whereas negative relationships have a "minus" sign. The Degree (Strength) of a Relationship.
708072
The direction of the relationship between two variables is identified by the sign of the correlation coefficient for the variables. Postive relationships have a "plus" sign, whereas negative relationships have a "minus" sign.
550508
A linear equation in two variables describes a relationship in which the value of one of the variables depends on the value of the other variable. In a linear equation in x and y, x is called x is the independent variable and y depends on it. ... You can then plot the points named by each (x,y) pair on a coordinate grid.
1423608
The coefficients describe the mathematical relationship between each independent variable and the dependent variable. The p-values for the coefficients indicate whether these relationships are statistically significant.
761884
If the ratio (yx) of two variables (x and y) is equal to a constant (k = yx), then the variable in the numerator of the ratio (y) is the product of the other variable and the constant (y = k⋅x). In this case y is said to be directly proportional to x with proportionality constant k.
1100639
And a proportional relationship between two variables is just a relationship where the ratio between the two variables is always going to be the same thing. ... And actually the ratio between y and x or, you could say the ratio between x and y, is always the same thing.