
Scatterplot - Minitab
Use Scatterplot to investigate the relationship between a pair of continuous variables. A scatterplot displays ordered pairs of X and Y variables in a coordinate plane.
Interpret the key results for Scatterplot - Minitab
Complete the following steps to interpret a scatterplot.Assess how closely the data fit the model to estimate the strength of the relationship between X and Y. When the relationship is strong, the …
Example of a simple scatterplot - Minitab
Interpret the results The scatterplot of the BMI and body fat data shows a strong positive and linear relationship between the two variables. Body mass index (BMI) may be a good predictor …
Create a simple scatterplot - Minitab
Graph > Scatterplot > SimpleComplete the following steps to specify the data for your graph.
Select a scatterplot - Minitab
Create a scatterplot that displays the data values for a pair of variables at their (x, y) coordinates. For example, the following scatterplot shows the relationship between weight and height. For …
Data considerations for Scatterplot - Minitab
For the graph to represent your data most effectively, consider the following guidelines. The data must include one or more pairs of columns of numeric or date/time data Each pair of columns …
Select display options for Scatterplot and Matrix Plot - Minitab
The following images show the elements that you can display on a scatterplot or a matrix plot. To select elements when you create the graph, click Data View. To add or remove elements after …
Overview for Scatterplot - Minitab
Use Scatterplot to investigate the relationship between a pair of continuous variables. A scatterplot displays ordered pairs of x and y variables in a coordinate plane. For example, a …
Create a scatterplot with groups - Minitab
Graph > Scatterplot > With GroupsTo create a scatterplot with groups, complete the steps for the option that best describes your data.
Scatterplot of response fits vs actual values for - Minitab
Use the scatterplot to assess the accuracy of the predictions. When the analysis uses a validation technique, you can also compare the accuracy of the tree for the training and test data.