Use the linear regression models above to answer this question.Estimate the fixed costs. Round to the nearest $10,000.$HA 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 a treadmills,and C is the total cost (in dollars) of producing a treadmills.X2,9103,4154,6455,330P ($)1,4501,2751,123918C ($)3,634,0003,782,0004,185,0004,290,000Use this data to find a linear regression equation for price-demand data, using a as theindependent variable:p = ax + b₂where 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 as the independentvariable:C(x) = cx +d,where c is rounded to the nearest integer and d is rounded to the nearest 10,000.

Given, that a table contains price demand and the total cost data for the production of treadmills.…

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 a treadmills, and C is the total cost (in dollars) of producing a treadmills. x P ($) 2,910 1,450 3,415 1,275 4,645 1,123 918 C ($) 3,634,000 3,782,000 4,185,000 4,290,000 5,330 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 a 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.