Scatter chart
scatter chart
Sure. If you can observe that when variable A changed, variable B didn't change, and this happens repeatedly, that is a good indication that there is no relationship between those variables.
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
Line graph is used to show relationship between two variables.
A tentative descriptive statement of the relationship between the variables is called hypothesis
scatter chart
A correlational survey or study determines if two or more variables are correlated. It helps you determine the specific relationship between the variables.
Sure. If you can observe that when variable A changed, variable B didn't change, and this happens repeatedly, that is a good indication that there is no relationship between those variables.
The relationship is a function if a vertical line intersects the graph at most once.
Linear Analysis is a technique used in statistics to determine the constant relationship between two variables.
There are no relations between different variables. If you want to enable a relationship between variables, you must write the code to implement that relationship. Encapsulating the variables within a class is the most obvious way of defining a relationship between variables.
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
type the equation that shows the relationship between the variables in this chart.
Line graph is used to show relationship between two variables.
an algebraic equation that describes a relationship between several variables is called a?
A tentative descriptive statement of the relationship between the variables is called hypothesis
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.