The MiaBella 3D Scatter Plot & Regression is a powerful tool to represent and explore data in three dimensions.
The core chart is an interactive 3D scatter plot visualization. You can also perform a linear multiple regression on your data, with regression output, graphical regression plane, and confidence intervals.
The MiaBella 3D Scatter Plot & Regression opens showing multiple control panels that rotate into the background to give more screen space to the display of your data. Simply move your mouse cursor over any of the controls to bring them forward.
This program operates on data that is defined in three dimensions, and the data can be shown in a traditional scatter plot or through a linear regression analysis.
These graphics are interactive, featuring point selection, rotation, and a number of color and display options.
The left panel offers a variety of statistical and visual controls through a dynamic graphical user interface. There are also many other settings described on the Commands page at the MiaBella web site.
The bottom right control panel is how you choose the data you want to display.
There are five sample data sets that you can use to explore this program's features. Here you can also choose to load your own data. Refer to the MiaBella web site for the data import format.
If you choose to run a regression analysis on your data, the results will appear in the top-right panel.
This information represents most of the information that business people examine when using a regression model.
This program is constantly keeping track of its performance to provide you with a smooth graphical experience. The results of the performance monitor are shown on the bottom left of your screen. You might see the display quality increase or decrease depending on your computer and which graphics features you have chosen to display.
To begin exploring your research in stunning 3D graphics, check out the Features, Commands, and Data Loading pages at: http://www.miabellaai.net/3dViz/
For inquiries or to provide performance feedback, email: email@example.com
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