Linear Relations.
A linear relation is a statistical term used to describe the relationship between a variable and a constant. Linear relationships can be expressed in a graphical format where the variable and the constant are connected via a straight line or in a mathematical format where the independent variable is multiplied by the slope coefficient, added by a constant, which determines the dependent variable.
For example, assume that the independent variable is the size of a house (as measured by square footage), determines the market price of a home (the dependent variable), when it is multiplied by the slope coefficient of 207.65 and is then added to the constant term $10,500. If a home's square footage is 1,250 then the market value the home is $270,062.50. Graphically, and mathematically:
For example, assume that the independent variable is the size of a house (as measured by square footage), determines the market price of a home (the dependent variable), when it is multiplied by the slope coefficient of 207.65 and is then added to the constant term $10,500. If a home's square footage is 1,250 then the market value the home is $270,062.50. Graphically, and mathematically:
In this example, as the size of the house increases, the market value of the house increases in a linear fashion.