Use the linear regression models above to answer this question.Estimate the fixed costs. Round to the nearest $10,000.$ thanks for the helpamgioa Break-Even AnalysisThe 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 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 as theindependent variable:p = ax + bwhere 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.

The question is related to regression analysis .Let p be the wholesale price (in dollars) of a…

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 a treadmills, and C is the total cost (in dollars) of producing a treadmills. 8 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 a as the independent variable: p = ax + b₁ 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 e is rounded to the nearest integer and d is rounded to the nearest 10,000.

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 a treadmills, and C is the total cost (in dollars) of producing a treadmills. 8 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 a as the independent variable: p = ax + b₁ 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 e is rounded to the nearest integer and d is rounded to the nearest 10,000.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

help with question number 1 and 2 please. 1.The regression equation is ?? (Round to one decimal place as needed.) 2. The best predicted gross for a movie with a $125 million budget is $ million.
I need some help with some of the practice questions I've been given for a math class in college. I just need some help solving so I can practice for my next exam
Use the data shown in the graph to write a quadratic regression equation. Then predict the box office revenue in 2013. Let x represent the number of years since 2000. Millions of dollars 32- 189 31+ 30- Box office revenue 28.9 29.4 28.7 30.8 29- 28- 27- 2004 2005 2006 2007 2008 2009 Year
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 85.851 3 108.426 141.781 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is S(t) = 9.44t + 84.182. 220 210- 200 190 180 170- 160 150 140 130 120 110 100 90 12 804
Use the following information to answer the question. The following linear regression model can be used to predict ticket sales at a popular water park. Ticket sales per hour = -631.25 + 11.25(current temperature in °F) What is the predicted number of tickets sold per hour if the temperature is 86°F? Round to the nearest whole ticket. O About 336 tickets O About 252 tickets O About 276 tickets About 301 tickets
Use the cost model screenshot attached to answer the question. Thanks for the help. What is k? Round to the nearest integer.
A teacher wants to form a linear regression equation to predict a student's score on the final based on the number of hours they spent studying for it. Final scores are in percents. y=2x + 60 R-Squared = 0.65 What does the y-intercept mean in terms of the situation? O If a student doesn't study for the final, their score on the final would be 60%. O If they doesn't study for the final their score would be 65%. O The student should study for the final. O A ripe Mango. O If a student doesn't study for the final, their score would be 2%.
2. Participants were kept awake for a certain number of hours before given a visuospatial task. Researchers measured how many correct responses each participant had. Results are shown below. Use alpha = .01. Number of Correct Hours Kept Awake (X) Responses (Y) 21 X = 10 SS, = 422 Y = 10 SS, = 690 2 4 19 %3D 6. 13 SPxy =-525 ху 5 20 S, =5.70 S, = 7.29 9. 11 10 9. 14 5 15 5 17 2 18 1 17 1 13 4 18 8 11 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. a. Calculate Pearson's r i. Decision about null hypothesis? b. Calculate effect size i. Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. G. If someone was kept awake for 9 hours, what is the predicted number of correct responses?
Use the cost model screenshot attached to answer the question. Thanks for the help. What is m? Round to 1 decimal place.