How to get a good answer using data and analysis tools in jmp 1 uses the other
Question:
How to get a good answer using data and analysis tools in jmp 1 uses the other variables to predict "passion." passion would need to be aggregated into high/low first, and then you can use logistic regression or decision trees
2 do a segmentation of the states based on all of the variables... this ends up creating groups of states by similar "golfiness". 3 the nice thing about state-level data is that you can find other variables to merge to this data. e.g. you might want to predict golfers per facility or golf participation based on variables such as population, economic development, weather, etc. this is a prediction problem so a regression or decision tree approach will be good. in cases 1 and 2, you may need to fill out the missing values (you will see i corrected this in the excel sheet),.. or there are too many missing values for a given state, just drop them. for something like iowa, you should be able to find online a number for golf facilities, or at least be able to make up a ballpark number. can ignore this point but wanted you to see if the data was clean enough to work with to answer the questions above. once you dealt with the missing values, tasks 1 and 2 should be relatively straightforward for tasks 3,
You will be using a selection of the columns from this spreadsheet plus you need to find a data set with state-level characteristics to merge together. you will discover that you need to standardize the way you spell/abbreviate states in column a in order to be able to merge the data successfully. do you know where to get this data
Physics
ISBN: 978-0077339685
2nd edition
Authors: Alan Giambattista, Betty Richardson, Robert Richardson