A scatter diagram.
A scatter diagram. A line diagram will not be as good at showing a relationship that is non-linear (not a straight line).
No, it is quantitative.
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
The shape and slope of the line on a graph illustrates the qualitative and quantitative relationship between the variables plotted on the axes of the graph. Sadly, there is no such graph as a "speed or time" one.
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The coefficient of determination, otherwise known as the r^2 value, measures the strength of the linear relationship between two quantitative variables. An r^2 value of 1 indicates a complete linear relationship while a value of 0 means there is no relationship.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
A scatter diagram. A line diagram will not be as good at showing a relationship that is non-linear (not a straight line).
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.
Graphing an equation allows you to visualize the relationship between variables and predict values of one relative to the other
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
No, it is quantitative.
It means there is no discernable relationship between the two variables. Knowing one variable does not give you any help in working out the other. They are independent of each other.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.