# 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