The Pearson correlation coefficient, also simply called correlation coefficient measures the linear correlation between two sets of data/variables, independent variables and dependent variable. A correlation coefficient may only be between -1 and 1 where +1 denotes a perfect positive correlation between variables(both variables increase together), 0 is no correlation, and -1 is perfect negative correlation between variables(one decreases while other increases).
First you need to make the percent into a decimal and multiply it by the price without tax: 0.0975 · 544.98, which equals 53.136 when rounded to the nearest thousandth. This means that 53.136 is 9.75% of 544.98. Then you just need to add 53.136, or 53.14 when rounded, to 544.98. This gives you $598.12.
