I have two queries in a Microsoft Access database. They are named Average
and Home_Runs
. They both share the same first three columns Name
, [Year]
and Month
.
Query: Average
Name Year Month Average
Cabrera 2013 5 .379
Fielder 2013 5 .245
Martinez 2013 5 .235
Cabrera 2013 6 .378
Fielder 2013 6 .278
Martinez 2013 6 .240
Query: Home_Runs
Name Year Month Home Runs
Cabrera 2013 5 12
Fielder 2013 5 2
Martinez 2013 5 2
Cabrera 2013 6 9
Fielder 2013 6 4
Martinez 2013 6 4
I need to offset the data before I begin the calculations. I need to determine how the Home Runs from one month relate the the Average from the previous month. So it is not a direct month-to-month comparison. I need to perform a month-to-previous-month comparison.
I need to do two calculate two things from these two queries.
First: With Average
being the X-axis and Home_Runs
being the Y-Axis. I need to find the correlation between these data points.
Second: With Average
being the X-axis and Home_Runs
being the Y-Axis. I need to find the equation of the best-fit-line between all of these data points. More specifically I need to find the value of the Y variable when the X variable equals certain values.
Additional Information:
In the end I need to return a table that looks like this:
Calculation Tier 1 Tier 2 Tier 3 Correlation
Avgerage to Home Runs .04 3.00 6.00 .80
What is the best way to accomplish these things?