Experts are full of valuable knowledge and are ready to help with any question. Credentials confirmed by a Fortune 500 verification firm.

Get a Professional Answer

Via email, text message, or notification as you wait on our site. Ask follow up questions if you need to.

100% Satisfaction Guarantee

Rate the answer you receive.

Ask Ryan Your Own Question

Ryan, Engineer

Category: Math Homework

Satisfied Customers: 8838

Experience: B.S. in Civil Engineering

40260889

Type Your Math Homework Question Here...

Ryan is online now

Cost Modeling. General Widget Corporation has collected data

This answer was rated:

★★★★★

Cost Modeling. General Widget Corporation has collected data on the daily output and daily production cost of widgets produced at its factory. (Data for the study are shown in the table below.) The company believes that daily output (DO) and daily production cost (PC) ought to be linearly related. Thus, for some numbers a and b: PC = a + b × DO

Output Production Cost

Day 1 5,045 2,542

Day 2 6,127 2,812

Day 3 6,360 2,776

Day 4 6,645 3,164

Day 5 7,220 4,102

Day 6 9,537 4,734

Day 7 9,895 4,238

Day 8 10,175 4,524

Day 9 10,334 4,869

Day 10 10,855 4,421

Build a least-squares model to estimate the parameters a and b in the linear relationship. In other words, minimize the sum of squared differences between the model's predicted values and the observations. What are the best values of the parameters a and b for this criterion? What is the minimum value of the objective function? (Verify your results by using Excel's Regression tool.) Suppose, instead, that a better criterion is thought to be minimizing the sum of absolute deviations between the model's predicted values and the observations. What are the best values of the parameters a and b for this criterion? What is the minimum value of the objective function? Suppose, instead, that a better model than the linear model is thought to be the power function PC = a(DO)b Using the sum of absolute deviations (as in the previous part), what values of a and b provide the best fit? What is the minimum value of the objective function?