Fill in four tables in the above format corresponding to c = 0, c = 10, c = 20 and c = 30.

1. The objective in this exercise is to develop a numerical price optimization calculator for a linear price-response function (or any other complicated function). Create the below table in a spreadsheet (MS Excel, Google Sheets etc.). Make sure that all cells contains active formulas that calculate the required items using given parameters (b and c). Note that p* denotes the optimal price, d(p*) denotes the demand at the optimal price, r(p*) denotes the optimal revenue and m(p*) denotes the optimal profit. d(p) = (2000 bp)+, incremental cost: c TL. Table 1: Linear Price-Response Function bp dp*) r(p*)m(p*) 10 20 30 40 1. The objective in this exercise is to develop a numerical price optimization calculator for a linear price-response function (or any other complicated function). Create the below table in a spreadsheet (MS Excel, Google Sheets etc.). Make sure that all cells contains active formulas that calculate the required items using given parameters (b and c). Note that p* denotes the optimal price, d(p*) denotes the demand at the optimal price, r(p*) denotes the optimal revenue and m(p*) denotes the optimal profit. d(p) = (2000 bp)+, incremental cost: c TL. Table 1: Linear Price-Response Function bp dp*) r(p*)m(p*) 10 20 30 40