G
Guest
I am wondering if there is a way to use the LINEST function with data that is
being filtered.
The purpose of this is for a large set of data (~5000 rows x 35 columns)
where I have a xy scatter based on two columns. This graph also has a linear
trendline with equations and r2 value on the graph.
Currently I have used advanced filters to create subsets of data based on
various columns (not the columns being graphed).
For each of these subset that i have created (in a new location) i used
LINEST and generated a new xy scatter plot, to which i have included the
standard error and number of data points (from the LINEST calculation).
With this large dataset, creating new subsets whenever new data is entered
would be very time consuming.
So, I would like to find a way to use LINEST to calculate the slope,
intercept, r2 and number of features in the filtered data set (i.e. only the
visible rows)
My data would look something like this (on a larger scale obviously):
Vendor Product Year PredictedValue Actual Value
A X 2000 10 14
A X 2000 13 17
B X 2001 15 12
B X 2001 19 22
C Y 2000 14 19
C Y 2000 50 44
C Y 2001 40 33
C Y 2001 29 31
So basically, i may want to filter for all of one product, or year, or
combination thereof (and others in my complete data set), and then have
LINEST calculated for only the visible data.
Hope this makes sense.
Thanks in advance,
David
being filtered.
The purpose of this is for a large set of data (~5000 rows x 35 columns)
where I have a xy scatter based on two columns. This graph also has a linear
trendline with equations and r2 value on the graph.
Currently I have used advanced filters to create subsets of data based on
various columns (not the columns being graphed).
For each of these subset that i have created (in a new location) i used
LINEST and generated a new xy scatter plot, to which i have included the
standard error and number of data points (from the LINEST calculation).
With this large dataset, creating new subsets whenever new data is entered
would be very time consuming.
So, I would like to find a way to use LINEST to calculate the slope,
intercept, r2 and number of features in the filtered data set (i.e. only the
visible rows)
My data would look something like this (on a larger scale obviously):
Vendor Product Year PredictedValue Actual Value
A X 2000 10 14
A X 2000 13 17
B X 2001 15 12
B X 2001 19 22
C Y 2000 14 19
C Y 2000 50 44
C Y 2001 40 33
C Y 2001 29 31
So basically, i may want to filter for all of one product, or year, or
combination thereof (and others in my complete data set), and then have
LINEST calculated for only the visible data.
Hope this makes sense.
Thanks in advance,
David