To avoid such problems when comparing the categorical variables in a two-way frequency table, we need to exam the table by separate categories (rows or columns). When a relative frequency is determined based upon a row or column, it is called a "conditional" relative frequency.
Two-way relative frequency tables show what percent of data points fit in each category. ...
For example, here's how we would make column relative frequencies:
Step 1: Find the totals for each column.
Step 2: Divide each cell count by its column total and convert to a percentage.
This answer is pretty simple. you see (5,-8) and (20,y). well the 20 is 4 times the 5 on the x value so multiply the y value by 4 to get your answer which Y=-32 in the 2nd corrdenants.
