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

For the given data we use Excel calculations for the MAPE of the linear regression method. To find…

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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[Simple Linear Regression] How do you solve this?
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 53 years? Best Actress 29 29 30 58 30 33 45 28 60 22 42 51 Best Actor 44 38 38 44 50 46 60 53 41 55 46 31
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 29 years. Is the result within 5 years of the actual Best Actor winner, whose age was 51 years? Best Actress 27 30 30 60 30 34 44 29 65 23 45 56 D Best Actor 41 38 37 46 51 46 60 51 39 55 44 34 Find the equation of the regression line. (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.)
answer using minitab or excel
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.
Wedding Cost Attendance 62700 300 50000 350 47000 150 43000 200 35000 250 32500 150 28000 250 28000 300 26000 250 26000 200 25000 150 25000 200 22000 200 22000 200 20000 200 20000 200 19000 100 18000 150 18000 200 18000 150 17000 100 12000 100 12000 150 6000 50 3000 50 Interpret the Y-intercept of the regression equation. Choose the correct answer below. A. It is not appropriate to interpret the Y-intercept because it is outside the range of observed wedding costs. B. The Y-intercept indicates that a wedding with a cost of $0 has a mean predicted attendance of b 0b0 people. C. It is not appropriate to interpret the Y-intercept because it is outside the range of observed attendances. D. The Y-intercept indicates that a wedding with an attendance of 0 people has a mean predicted cost of $b 0b0. Part 4 Identify and interpret the meaning of the coefficient of determination in this problem.…
Given: Student Pre-test Scores Post-test Scores 1 84 85 2 78 86 ITT 3 88 89 4 79 83 5 84 87 Find: degree of relationship of the two variables Least-Square Regression Line Equation (LSRL) and predict the post-test score if the pre- test score is 75.
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best-predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 39 years? Best Actress 28 32 28 58 31 31 47 29 63 21 43 57 Best Actor 42 38 39 43 49 50 57 53 38 53 45 35 1. Find the equation of the regression line. y =__+(__)x 2. Estimate y for x = 28 y=
M3
Find the GPA of a student if he gives average hours to study by using regression analysis. A random sample of ten students is selected from a class of 60 students, find regression line and also find the GPA of a student if he gives average hours to study by using this regression analysis. Their GPA and the hours to study are given below: GPA 2.5 3.1 3.6 3.2 2.9 3.7 2.9 2.4 3.3 3.5 Hours to study 3 5 7 5 3 8 4 2 5 7 Also interpret the regression coefficient.
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 =
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 32 years. Is the result within 5 years of the actual Best Actor winner, whose age was 48 years? Best Actress 29 31 28 58 32 33 43 29 64 21 44 Best Actor 41 49 59 48 37 52 44 35 36 43 48 y 57 35 Find the equation of the regression line. ŷ=+xx (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.)

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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 9 10 11 12 13 14 A 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