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.
A.

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 .
  • What is the line of best fit on a scatter plot?

    A line of best fit is a straight line drawn through the center of a group of data points plotted on a scatter plot. The line of best fit shows whether these two variables appear to be correlated and can be used to help identify trends occurring within the dataset.
  • 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 .
  • Why would you use a box plot?

    It is often used in explanatory data analysis. This type of graph is used to show the shape of the distribution, its central value, and its variability. In a box and whisker plot: the ends of the box are the upper and lower quartiles, so the box spans the interquartile range.
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 linear association mean?

    A relationship of direct proportionality that, when plotted on a graph, traces a straight line. In linear relationships, any given change in an independent variable will always produce a corresponding change in the dependent variable.
  • Which is the strongest correlation?

    The greater the absolute value of the Pearson product-moment correlation coefficient, the stronger the linear relationship. The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. The weakest linear relationship is indicated by a correlation coefficient equal to 0.

Updated: 2nd October 2019

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