Regression Analysis

Project 2 – Regression Analysis using JMP
As part of project 2, you will find 3 sets of bivariate data and 3 sets of data with 2 or more independent variables. You must select 3 data sets using at least one multiple regression data set. The instructions for using JMP are covered in another document. Each data set is in Excel. You should be able to import this information into JMP. For the bivariate data sets, use JMP to create a scatter plot, compute the regression line, the model ANOVA, r2, and the parameter estimates. Provide copies of these print outs. In addition, provide a brief summary of what you see. Summary should be roughly 1 page in length for each analysis.
If you believe the relationship is not linear, you are NOT required to perform any transformation.
These data sets are:
• Cricket Chirping – Does the chirp rate of crickets change with temperature? Here is some data to see.
• Cigarette Smokers – These data represent a history of 15 smokers and their age at death.
• Teen Birth – Is the level of teen births related to the poverty level. This data provide percent of teens living in poverty and the birthrate per 1000.
For data sets with two or more independent variables, conduct a multiple regression using JMP. Provide the final regression model, r2, the model ANOVA, and the parameter estimates. Provide copies of these print outs. In addition, provide a brief summary of what you see. Of particular note would be which independent variables to keep and which to ignore. That may mean running the analysis more than once.
Unless already given in the data, you do NOT have to consider any interactions, polynomial terms, or other transformations in the analysis, although appropriate comments may be given.
• Plants2 – Two Species of plants by 7 levels of watering. Look at both the wet and dry biomass as a function of watering and plant type. 0=Leucaena, 1=Accacia
• Majors – Can SAT scores predict success in college based on GPA. This group includes two majors, 0-Computer Science, 1-Engineering.
• Car Tire Properties – Which of 4 properties of rubber using in car tires is influenced by 3 key chemical components? For more information on Regression Analysis visit this:

Regression Analysis

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