I have a data set (attached) which I am required to analyze statistically to answer a question. I am using JMP 10 as statistical software. I am unsure based on my data what sort of tests I can run that would be useful.Basically I have data for tree age and I want to demonstrate whether or not using the circumference of the tree can predict age. Document Preview: 8/9/1965 1001 500 1 -9999 -9999 -9999 8/9/1965 1001 500 2 -9999 -9999 -9999 8/9/1965 1001 500 3 -9999 -9999 -9999 8/9/1965 1001 500 4 -9999 -9999 -9999 8/9/1965 1001 500 5 8744 4.3 -9999 11 8/9/1965 1001 500 6 8742 3.3 -9999 11 8/9/1965 1001 500 7 8741 -9999 -9999 -9999 8/9/1965 1001 500 8 8743 4.0999999999999996 -9999 13 8/9/1965 1001 500 9 -9999 -9999 -9999 8/9/1965 1001 500 10 -9999 -9999 -9999 8/9/1965 1001 500 11 -9999 -9999 -9999 8/9/1965 1001 500 12 -9999 -9999 -9999 8/9/1965 1001 500 13 -9999 -9999 -9999 8/9/1965 1001 500 14 -9999 -9999 -9999 8/9/1965 1001 500 18 -9999 -9999 -9999 8/9/1965 1001 500 19 -9999 -9999 -9999 8/9/1965 1001 500 20 -9999 -9999 -9999 8/9/1965 1001 500 21 -9999 -9999 -9999 8/9/1965 1001 500 22 -9999 -9999 -9999 8/9/1965 1001 500 23 -9999 -9999 -9999 8/9/1965 1001 500 24 -9999 -9999 -9999 8/9/1965 1001 500 25 -9999 -9999 -9999 8/9/1965 1001 500 26 -9999 -9999 -9999 8/9/1965 1001 500 27 -9999 -9999 -9999 8/9/1965 1001 500 28 -9999 -9999 -9999 8/9/1965 1001 500 29 -9999 -9999 -9999 8/9/1965 1001 500 30 -9999 -9999 -9999 8/9/1965 1001 500 31 -9999 -9999 -9999 8/9/1965 1001 500 32 -9999 -9999 -9999 8/9/1965 1001 500 33 -9999 -9999 -9999 8/9/1965 1001 500 34 -9999 -9999 -9999 8/9/1965 1001 500 35 -9999 -9999 -9999 8/9/1965 1001 500 36 8727 -9999 -9999 -9999 8/9/1965 1001 500 37 -9999 -9999 -9999 8/9/1965 1001 500 38 8731 -9999 -9999 -9999 8/9/1965 1001 500 39 -9999 -9999 -9999 8/9/1965 1001 500 40 -9999 -9999 -9999 8/9/1965 1001 500 51 -5555 -9999 -9999 8/9/1965 1001 500 52 -5555 -9999 -9999 8/9/1965 1001 500 53 -5555 -9999 -9999 8/9/1965 1001 500 54 -5555 -9999 -9999 8/9/1965 1001 500 55 -5555 -9999 -9999 8/9/1965 1001 500 56 -5555 -9999 -9999 8/9/1965 1001 500 57 -5555 -9999 -9999 8/9/1965 1001 500 58 -5555 -9999 -9999 8/9/1965 1001 500 59 -5555 -9999 -9999 8/9/1965 1001 500 60 -5555 -9999 -9999 8/9/1965 1001 500 62 -5555 -9999 -9999 8/9/1965 10 Attachments: Data.xlsx; I have a data set (attached) which I am required to analyze statistically to answer a question. I am using JMP 10 as statistical software. I am unsure based on my data what sort of tests I can run that would be useful.Basically I have data for tree age and I want to demonstrate whether or not using the circumference of the tree can predict age. Document Preview: 8/9/1965 1001 500 1 -9999 -9999 -9999 8/9/1965 1001 500 2 -9999 -9999 -9999 8/9/1965 1001 500 3 -9999 -9999 -9999 8/9/1965 1001 500 4 -9999 -9999 -9999 8/9/1965 1001 500 5 8744 4.3 -9999 11 8/9/1965 1001 500 6 8742 3.3 -9999 11 8/9/1965 1001 500 7 8741 -9999 -9999 -9999 8/9/1965 1001 500 8 8743 4.0999999999999996 -9999 13 8/9/1965 1001 500 9 -9999 -9999 -9999 8/9/1965 1001 500 10 -9999 -9999 -9999 8/9/1965 1001 500 11 -9999 -9999 -9999 8/9/1965 1001 500 12 -9999 -9999 -9999 8/9/1965 1001 500 13 -9999 -9999 -9999 8/9/1965 1001 500 14 -9999 -9999 -9999 8/9/1965 1001 500 18 -9999 -9999 -9999 8/9/1965 1001 500 19 -9999 -9999 -9999 8/9/1965 1001 500 20 -9999 -9999 -9999 8/9/1965 1001 500 21 -9999 -9999 -9999 8/9/1965 1001 500 22 -9999 -9999 -9999 8/9/1965 1001 500 23 -9999 -9999 -9999 8/9/1965 1001 500 24 -9999 -9999 -9999 8/9/1965 1001 500 25 -9999 -9999 -9999 8/9/1965 1001 500 26 -9999 -9999 -9999 8/9/1965 1001 500 27 -9999 -9999 -9999 8/9/1965 1001 500 28 -9999 -9999 -9999 8/9/1965 1001 500 29 -9999 -9999 -9999 8/9/1965 1001 500 30 -9999 -9999 -9999 8/9/1965 1001 500 31 -9999 -9999 -9999 8/9/1965 1001 500 32 -9999 -9999 -9999 8/9/1965 1001 500 33 -9999 -9999 -9999 8/9/1965 1001 500 34 -9999 -9999 -9999 8/9/1965 1001 500 35 -9999 -9999 -9999 8/9/1965 1001 500 36 8727 -9999 -9999 -9999 8/9/1965 1001 500 37 -9999 -9999 -9999 8/9/1965 1001 500 38 8731 -9999 -9999 -9999 8/9/1965 1001 500 39 -9999 -9999 -9999 8/9/1965 1001 500 40 -9999 -9999 -9999 8/9/1965 1001 500 51 -5555 -9999 -9999 8/9/1965 1001 500 52 -5555 -9999 -9999 8/9/1965 1001 500 53 -5555 -9999 -9999 8/9/1965 1001 500 54 -5555 -9999 -9999 8/9/1965 1001 500 55 -5555 -9999 -9999 8/9/1965 1001 500 56 -5555 -9999 -9999 8/9/1965 1001 500 57 -5555 -9999 -9999 8/9/1965 1001 500 58 -5555 -9999 -9999 8/9/1965 1001 500 59 -5555 -9999 -9999 8/9/1965 1001 500 60 -5555 -9999 -9999 8/9/1965 1001 500 62 -5555 -9999 -9999 8/9/1965 10 Attachments: Data.xlsx
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