In a previous exercise it may have been noticed that the sales from the web stores and that from the restaurant is directly related. All the same, if a more detailed analysis was conducted on the data it can be noticed there still exists some relation no matter how minor it may be. This relationship is essential if one needs to predict the customer behavior. The only way to make such predictions is only by coming up with regression models and equations.
An appropriate way of making analysis …show more content…
Therefore, to make a prediction about the sale or the consumers we have to make a model using the JMP application. Fortunately, JMP application is able to do all this for us and give us results. All we have to do is make conclusion from the graphs and its output. The above regression model represents the web visits and purchases. This means it can be used in the prediction of the purchases that can be made by every web visit. Furthermore, it can be used to predict the income from the web visits for the company.
References
Example of a Regression Analysis Using Fit Model. (2016). Jmp.com. Retrieved 16 July 2016, from http://www.jmp.com/support/help/Example_of_a_Regression_Analysis_Using_Fit_Model.shtml
Hierarchical Clustering. (2016). Jmp.com. Retrieved 16 July 2016, from http://www.jmp.com/support/help/Hierarchical_Clustering.shtml
Example of Clustering. (2016). Jmp.com. Retrieved 16 July 2016, from