It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.
The relationship between two variables is called a relation. A relation in which a set of input values maps onto a set of output values such that each input corresponds to at most one output is called a "function." Functions do not necessarily have to be lines; they do not even have to be exponential, or parabolic, or continuous. A bunch of scattered points or lines that meets the requirements can still be considered a function involving two variables.
Generally speaking it is the coefficient that produces a ratio between variables of 1:1. If the variables are of a dependent/independent framework, I find that Chronbach's or Pearson's produces the most accurate (desirable) results. Hope this helps for answering a very good question for what appears to be n enthusiastic novice investigator.
Nominal Variables
Variables of interest in an experiment (those that are measured or observed) are called response or dependent variables. Other variables in the experiment that affect the response and can be set or measured by the experimenter are called predictor, explanatory, or independent variables. Antisocial behavior
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
It is a ratio.
Interval and ratio
It is the constant of proportionality.
It is a ratio.
It is a ratio.
It is the constant of proportionality.
Derived unit
It is a ratio.
It is called a ratio.
Graphical: If two variables are proportional, the graph of one of the variables against the other is a straight line through the origin.Algebraic: If the ratio of the two variables is a constant.
It is a direct proportion.