A boxplot works best when the sample size is at least 20. If the sample size is too small, the quartiles and outliers shown by the boxplot may not be meaningful. If the sample size is less …

When you create a graph that includes multiple Y variables, you can display each y variable in a separate panel or a separate graph. For example, the following interval plot displays each y …

When to use an alternate graph If the sample size is less than 20, consider using an Individual value plot instead.

A plant fertilizer manufacturer wants to develop a formula of fertilizer that yields the most increase in the height of plants. To test fertilizer formulas, a scientist prepares three groups of 50 …

Use an individual value plot to examine the spread of the data and to identify any potential outliers. Individual value plots are best when the sample size is less than 50.

The plot makes it easier to quickly identify predictors that are more or less important in the model. Because the plot displays standardized coefficients, you can make comparisons among the …

Use the table below to learn more about PLS graphs.

Use the normal probability plot to assess the requirement that your data follow a normal distribution. If the normal distribution is a good fit for the data, the points form an approximately …

Bias versus reference plot Use the Bias versus Reference Value plot to see how the bias values vary for each part. The blue dots represent the bias values for each reference value. The red …

Probability Plot A probability plot creates an estimated cumulative distribution function (CDF) from your sample by plotting the value of each observation against the observation's estimated …