What does a scatter plot tell you?

Scatter plots are similar to line graphs in that they use horizontal and vertical axes to plot data points. However, they have a very specific purpose. Scatter plots show how much one variable is affected by another. The relationship between two variables is called their correlation .
A.

How do you describe the association?

No association: Hard to find a pattern showing a relationship between the variables. STEP 1: Make a scatterplot; describe the form, direction and strength of the relationship. Before doing the scatterplot you need to decide which variable is the explanatory variable and which is the response variable.
  • What is a negative association?

    Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. In statistics, a perfect negative correlation is represented by the value -1.00, a 0.00 indicates no correlation, and a +1.00 indicates a perfect positive correlation.
  • What is an example of a scatter plot?

    Scatter Plots. A Scatter (XY) Plot has points that show the relationship between two sets of data. In this example, each dot shows one person's weight versus their height. (The data is plotted on the graph as "Cartesian (x,y) Coordinates")
  • What is negative association in math?

    A negative correlation is a relationship between two variables such that as the value of one variable increases, the other decreases. Correlation is expressed on a range from +1 to -1, known as the correlation coefficent.
B.

What is a positive association?

Positive correlation is a relationship between two variables in which both variables move in tandem. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.
  • What is positive and negative association?

    Recall, Positive/Negative Association: • Two variables have a positive association when the values of one variable tend to increase as the values of the other variable increase. • Two variables have a negative association when the values of one variable tend to decrease as the values of the other variable increase.
  • What does it mean to have a negative association?

    A negative correlation is a relationship between two variables such that as the value of one variable increases, the other decreases.
  • What is a no association?

    A perfect positive association means that a relationship appears to exist between two variables, and that relationship is positive 100% of the time. In statistics, a perfect positive association is represented by the value +1.00, while a 0.00 indicates no association.

Updated: 2nd October 2019

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