The interactive worksheet below is made up of tables. By entering data in designated cells of each table on this page, you will calculate Proportional Value (PV) job rates for unmatched female job classes. You must complete the following steps to achieve Proportional Value rates.
Note: If you are using the Proxy Comparison method for achieving pay equity, you can use the
regression line calculator designed for that purpose.
must complete Step 1 before continuing on to Steps 2 and 3.
At Step 1, you enter the number of male and female jobs you'll be working with in this exercise - this will give you the number of rows per table you need for your calculation.
At Step 2, you enter the male job data (in Table # 1): the representative male job classes are entered in the first column; job values in column A; and job rates expressed in
hourly rate in column B (enter this data in descending order). Each cell in columns A and B
must contain data.
Click "Compute" at the bottom of the table to activate the regression formula. If you click "Reset", the data in each cell in this table will be erased.
The regression program will generate "output" numbers: Columns C - G will be filled in. The Constant and the Slope values will appear under their own headings below Table # 1. And the R-squared numbers will appear in Table # 2.
At Step 3, you enter the female job data (in Table # 3): unmatched female job classes are entered in the first column; job values in column A; and job rates in column B. Each cell in columns A and B
must contain data.
Click "Compute" at the bottom of the table to apply the formula to the female job data. If you click "Reset", the data in each cell in this table will be erased.
The PV job rate results for the unmatched female job classes will appear in Column C and the required pay equity adjustment in Column D.
Printing: You can't save your final results to your hard drive, but you can print your calculations by using the 'Print' icon on your browser menu bar. When you exit this page, the tables are automatically reset and all data is erased.
Record-keeping: For your convenience, we've provided space at the end of this exercise if you wish to record the name of a person inputting the data, a project title, and the date you created your calculation.
To produce new Proportional Value results with new data, reset all the tables and begin again from Step # 1.
You cannot skip this step. You must enter the number of male jobs (for example, 3) and female jobs (for example, 3) in the cells below, then click "Load the tables". This will give you the correct number of rows you need in each table for your calculation.
Enter the representative male job classes in the Male Job Classes column, and the job values and job rates in Columns A and B (in descending order). Click "Compute" at the bottom of the table to activate the regression formula, then move down the page to view your output results. Remember that if you click "Reset", all the data in the table will be erased. Go to Step 3.
The values for the slope and constant are used to determine the pay equity job rate:
pay equity job rate =
x job value)
The table below (Table # 2) contains the calculation that measures how well the job rate line
fits the given set of male job data. A higher value of R-squared indicates a better fit.
The R-squared calculation for the male job data is:
The R-squared result:
The final step in this interactive exercise is
to enter the female job data. Enter the female job classes in the Female Job Classes column,
and the job values and job rates in Columns A and B. Click "Compute" and your Proportional Value Job Rate results
will automatically appear in Column C and the pay equity adjustment(if any) in Column D.
Remember that if you click "Reset", all the data in the table will be erased.
You now have PV job rates for the female job classes that were
unmatched under the Job-to-Job approach.
* Optional: Enter a person's name,
project name and/or date for record-keeping.
Print your calculations by using the 'Print' icon on your browser menu bar.
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