## How do you find the correlation of a scatter plot?

Step 1: Find the mean of x, and the mean of y. Step 2: Subtract the mean of x from every x value (call them “a”), and subtract the mean of y from every y value (call them “b”) Step 3: Calculate: ab, a2 and b2 for every value. Step 4: Sum up ab, sum up a2 and sum up b.

**What are the 2 types of relationships for scatter plots?**

a linear or non-linear relationship, a positive (direct) or negative (inverse) relationship, the concentration or spread of data points, the presence of outliers.

### What type of relationship is shown by the scatter plot?

A scatter plot can show a positive relationship, a negative relationship, or no relationship. If the points on the scatter plot seem to form a line that slants up from left to right, there is a positive relationship or positive correlation between the variables.

**What are the 3 different types of relationships for scatter plots?**

With scatter plots we often talk about how the variables relate to each other. This is called correlation. There are three types of correlation: positive, negative, and none (no correlation). Positive Correlation: as one variable increases so does the other.

## How do you describe the relationship between two variables?

The statistical relationship between two variables is referred to as their correlation. A correlation could be positive, meaning both variables move in the same direction, or negative, meaning that when one variable’s value increases, the other variables’ values decrease.

**What is an example of a positive and negative correlation?**

An example of positive correlation would be height and weight. Taller people tend to be heavier. A negative correlation is a relationship between two variables in which an increase in one variable is associated with a decrease in the other.

### How do you find the covariance between two variables?

Covariance is calculated by analyzing at-return surprises (standard deviations from the expected return) or by multiplying the correlation between the two variables by the standard deviation of each variable.

**How do you graph a scatter plot?**

Draw a Scatter Plot by Hand Choose your independent and dependent variables. Draw an x-axis for the independent variable. Add a y-axis for the dependent variable. Mark each data point on your scatter plot. Label your graph and your axes.

## How do you explain scatter plot?

A scatter plot is a set of points plotted on a horizontal and vertical axes. Scatter plots are important in statistics because they can show the extent of correlation, if any, between the values of observed quantities or phenomena (called variables).

**What is an example of a scatter plot?**

Notice how when there is a correlation, the points tend to line up in one direction. A common example of a scatter plot is the relationship between people’s shoe sizes and their IQs. When a large data collection is analyzed, you see that there’s no correlation.

### How do you interpret scatter plots?

You interpret a scatterplot by looking for trends in the data as you go from left to right: If the data show an uphill pattern as you move from left to right, this indicates a positive relationship between X and Y. As the X-values increase (move right), the Y-values tend to increase (move up).