The table below contains the demand and price and total cost data for the production of widgets. Here p is the price (in dollars) of a widget for an annual demand of a widgets, and is the annual total cost (in dollars) of producing a widgets per year. Price of Widgets Annual widget demand (widgets) Price per widget P ($/widget) 10 147 20 132 30 125 40 128 50 113 60 97 70 85 80 32 90 79 100 53 DULOS Use the given data to find a regression line that best fits the total annual cost data for cost C in dollars as a function of the production level 2 widgets. Here, cost is the dependent variable, and production level is the independent variable. Find the regression function for cost, and write it as C(x) = mx + b, wherem is rounded to the nearest tenth, and b is rounded to the nearest tenth. Question 1 1 pts Enter the value for m, rounded to the nearest tenth. D Question 2 1 pts Enter the value for b, rounded to the nearest tenth Question 3 1 pts Use the regression function C(x) = mx + b with m rounded to the nearest tenth and brounded to the nearest tenth. Compute C(45), rounded to the nearest tenth. Question 4 1 pts Use the regression function C(x) = mx + b with m rounded to the nearest tenth and brounded to the nearest tenth. Compute C(0) rounded to the nearest tenth. The table below contains the price, demand, and total cost data for the production of a widgets. Here is the price in dollars) of a widget for an annual demand of a widgets, and is the annual total cost (in dollars) of producing a widgets per year. Annual Total Cost of Producing Widgets Annual widget production Annual total cost C($) (widgets) 10 609 20 1105 30 1523 40 2150 50 2603 60 3121 70 3672 80 4103 90 4601 100 5214