Question 44) ListenThe MAPE of the linear regression method is2.47%6.78%9.17%2.63%1 Year234567891011121314A151617182002200320042005200620072008200920102011201220132014201520162017BSales45474848525356585964697073767980>n3D

MAPE is the measure of absolute percentage error. It is calculated by subtracting the actual and…

Answered: Question 4 Listen The MAPE of the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411 ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411
answer using minitab or excel
A. Write the estimated model. Compute and interpret the adequacy of the regression model. Estimated Model: ______________________________________________________ Model Adequacy: ____________ Interpretation: B. Is the quadratic regression term is significant at α=5%. Ho (symbols and words): ______________________________________________________________ p-value: _______________ Conclusion: ___________________________
Directions: Construct a Regression Model for the following data. Year Wage (in dollars) 2000 5.15 2005 5.15 2010 7.25 2016 7.25 U.S. Federal Minimum Wage 1. State your regression model (least-squares line). Make sure you first convert the Year into Years after 2000. y = 2. Use your model to predict the minimum wage for the year 2022. y = dollars 3. Use your model to predict when the minimum wage will reach $10. When During year Rounding: If you do round the numbers in your work, make sure you do it during your last step.
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 attached ss thanks
Amazon Revenue The annual revenue of Amazon is given in the table below (source ). Year 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 Amazon Annual Revenue (Billions of US dollars) 386.064 280.522 232.887 177.866 135.987 107.006 88.988 74.452 61.093 48.077 34.204 See the Regression page in the Chapter 1: Linear Equations and Graphs module for details on creating a regression model. Apply linear regression to the data in the table to find a model y = mx + b, where y is Amazon's annual revenue in billions of US dollars, and is the number of years since 2010.
Answer questions A_C show work
Download HW 3 Download HW 3and generate a simple linear regression solution such that Reading predicts Freshman GPA. If a student scores 530 on their SAT test, what is their forecasted Freshman GPA (keep two decimal places)?
M3
Day Highest Temperature Lowest Temperature Thursday 07/07 24 Degree 14 Degree Friday 08/07 27 Degree 15 Degree Saturday 09/07 25 Degree 15 Degree Sunday 10/07 27 Degree 16 Degree Monday 11/07 29 Degree 16 Degree Tuesday 12/07 31 Degree 17 Degree Wednesday 13/07 29 Degree 15 Degree Thursday 14/07 28 Degree 16 Degree Friday 15/07 28 Degree 17 Degree Saturday 16/07 29 Degree 18 Degree For the data above , use the linear forecasting model which is y = mx + c to calculate and discuss the followings: Show the steps of calculation of m value and discuss the answer. Show the steps of calculation of c value and discuss the answer. Using the calculated 'm' and 'c' values, forecast the temperature for day 11 and day 14. Hint - Use the following formulas to calculate the ‘m’ and ‘c’ values. m = c =
Cost Number 85 4 2 10 52 55 68 67 86 83 73 13. What is the value of the pearson.coefficient? 14. What is the slope of the regression line? 15. Which of the following is estimated number of products sold when the cost of the advertisement is 12,000 dallars A. 89250 B. 33517 C. 4283 D. 15
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Question 4 Listen The MAPE of the linear regression method is 2.47% 6.78% 9.17% 2.63% 1 Year 2 3 4 5 6 7 8 A 9 10 11 12 13 14 15 16 17 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 B Sales 45 47 48 48 52 53 56 58 59 64 69 70 73 76 79 80 C