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I have some data in a sql database and I'd like to calculate the slope. The data has this layout: Date | Keyword | Score 2012-01-10 | ipad | 0.12 2012-01-11 | ipad | 0.17 2012-01-12 | ipad | 0.24 2012-01-10 | taco | 0.19 2012-01-11 | taco | 0.34 2012-01-12 | taco | 0.45 I'd like the final output to look like this by creating a new table using SQL: Date | Keyword | Score | Slope 2012-01-10 | ipad | 0.12 | 0.06 2012-01-11 | ipad | 0.17 | 0.06 2012-01-12 | ipad | 0.24 | 0.06 2012-01-10 | taco | 0.19 | 0.13 2012-01-11 | taco | 0.34 | 0.13 2012-01-12 | taco | 0.45 | 0.13 To complicate things, not all Keywords have 3 dates worth of data, some have only 2 for instance. The simpler the SQL the better since my database is proprietary and I'm not quite sure what formulas are available, although I know it can do OVER(PARTITION BY) if that helps. Thank you! UPDATE: I define the slope as best fit y=mx+p aka in excel it would be =slope() Here is another actual example that I usually manipulate in excel: date keyword score slope 1/22/2012 water bottle 0.010885442 0.000334784 1/23/2012 water bottle 0.011203949 0.000334784 1/24/2012 water bottle 0.008460835 0.000334784 1/25/2012 water bottle 0.010363991 0.000334784 1/26/2012 water bottle 0.011800716 0.000334784 1/27/2012 water bottle 0.012948411 0.000334784 1/28/2012 water bottle 0.012732459 0.000334784 1/29/2012 water bottle 0.011682568 0.000334784

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