Direct square proportion is the relationship between two things in which the quantity of one is directly proportional to the square of the other. In this relationship, the ratio of the first to the square of the second is a constant.
Continue ReadingAn example of direct square proportion is when a circle is directly proportional to the square of its radius. This example is expressed by an equation stating that the area of a circle is equal to the constant multiplied by the square of the radius. Direct proportion is the relationship between two things in which the quantity of one is directly proportional to the other, without the second quantity being squared. In this type of proportion, the two quantities change by the same factor.
Learn more about Data GraphsA scatter plot is a mathematical diagram showing the relationship between two sets of data. Individual points are positioned according to the variables assigned to the vertical and horizontal axis.
Full Answer >A direct relationship graph is a graph where one variable either increases or decreases along with the other. The general equation for a direct relationship graph is y = mx + b, where "y" denotes the dependent variable, "x" indicates the independent variable, "m" represents the slope of the line and "b" is the y-intercept.
Full Answer >A linear relationship in mathematics is one in which the graphing of a data set results in a straight line. The formula y = mx+b is used to represent a linear relationship. In this formula m is the slope of the line, and b is the X-intercept. The graph of distance traveled versus time, at a constant speed, is a linear relationship.
Full Answer >An entity relationship diagram or model describes how sets of entities, such as computer processes or organizational roles, interact with each other. An ER model can also list attributes for a particular entity. The most common shape for an entity is a rectangle, while interactions or actions are diamonds, and attributes are ovals. The three main types of ER diagrams are physical data, logical data and conceptual data models.
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