Yaster Breakfast Supplies is planning to manufacture and market a new toaster. After conducting extensive market surveys, the research department provides the following estimates: a weekly demand of 319 at a price of $13 per toaster a weekly demand of 200 at a price of $17 per toaster The financial department estimates that weekly fixed costs will be $1,441 and variable costs (cost per unit) will be $5. Assume: the relationship between price and demand is linear the cost function in linear Use your models to predict the marginal profit when Yaster is producing and selling 250 toasters per week. Round to the nearest cent. Question 2 Use the linear regression models above to answer this question. Estimate the fixed costs. Round to the nearest $10,000. $ Question 3 Use the linear regression models above to answer this question. Estimate the variable cost per treadmill. Round to the nearest dollar. $ per treadmill produced 2 pts 2 pts Question 4 Use the linear regression models above to answer this question. There are two break-even points. Find the smaller production level where the company breaks even. Round to the nearest treadmill. treadmills Question 5 Use the linear regression models above to answer this question. There are two break-even points. Find the larger production level where the company breaks even. Round to the nearest treadmill. treadmills 2 pts 2 pts Break-Even Analysis The table below contains price-demand and total cost data for the production of treadmills, where p is the wholesale price (in dollars) of a treadmill for an annual demand of x treadmills, and C is the total cost (in dollars) of producing a treadmills. x 2,910 3,415 4,645 5,330 p ($) 1,450 1,275 1,123 918 C ($) 3,634,000 3,782,000 4,185,000 4,290,000 Use this data to find a linear regression equation for price-demand data, using x as the independent variable: p = ax + b, where a is rounded to 1 decimal place and b is rounded to the nearest integer. Use this data to find a linear regression model for the cost data, using x as the independent variable: C(x) = cx+d, where c is rounded to the nearest integer and d is rounded to the nearest 10,000. Use these linear regression models to answer questions 2-5 below.