Can you solve this for me Linear Regression The department of health studied the number of patients who need liver transplantation. The following data are the LiverTransplantation Waiting List (LTWL), where y is the size (in number of patients) and x is the corresponding year:y 1464 1894 2815s 3803 4708 6654 7532 7415 7671 8376 8285 8645 8922x 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013Round your intermediate answers to four decimal places (e.g. 98.7654).(a) Fit the simple linear regression model using the method of least squares. Find the estimate of o.Round your answer to the nearest integer (e.g. 9876).a = i(b) How does the LTWL size change in average for a year?Round your answer to the nearest integer (e.g. 9876).(c) Estimate the number of patients in the list in 2017.(d) Calculate the fitted value of y corresponding tox = 2010. Find the corresponding residual.Round your answer to the nearest integer (e.g. 9876).Round your answer to the nearest integer (e.g. 9876).e =

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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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2 Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y = mx + b X 1 2 5 6 3 4 132 149 y 86 106 165 Question Help: Video Message instructor Submit Question Jump to Answer 80 F2 F3 W S X mand #3 E D C $ 4 F4 R F % 5 V T 120 G ^ 6 MacBook Air & 7 B Y H N U * 00 8 DII F8 - J N M 9 K 92 O L F10 P command
The regression model for the number of diseases y = 0.4x2 – 2.5x +7.2 represents the number of flu cases (y) in a town in the thousands in x years after 2010. The model shows a(n) first followed by a(n) in the number of flu cases. The year had the greatest number of cases of the flu.
Please solve a question
please solve: F and G ch 12
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (y). The results of the regression were: y=ax+b a3D-0.838 b=28.783 es 72-0.784996 r=-0.886 rences borations Use this to predict the number of sit ups a person who watches 1 hours of TV can do, and please round your answer to a whole number. gle Drive ce 365 Submit Question adent Course aluations ere to search Chp ins prt sc delete f12 f9 f10 fa f5 f6 +1 f4 backspa & $4 8. 6 3 O E R T II 5
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 50.7 + 0.3x, + 5.2x2, where x, is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. X1 = 70, x, = 8.9 The predicted volume is cubic feet. (Round to one decimal place as needed.)
The equation used to predict annual cauliflower yield (in pounds per acre) is y = 24,121 +4.505x₁ -4.772x₂, where x₁ is the number of acres planted and x2 is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x₁ =35,100, x₂ =35,500 (b) x₁ = 36,800, X2=37,100 (c) x₁ = 37,900, x₂ = 38,000 (d) x₁ =41,100, x₂ = 41,200 (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.) (b) The predicted yield is pounds per acre. (Round to one decimal place as needed.) (c) The predicted yield is pounds per acre. (Round to one decimal place as needed.) (d) The predicted yield is pounds per acre (Round to one decimal place as needed.)
The annual expenditure for cell phones varies by the age of an individual. The average annual expenditure E(a) (in $) for individuals of age a (in years) is given below:a: 20, 30, 40, 50, 60, 70E(a): 502, 658, 649, 627, 476, 2131. Use quadratic regression to find the model that best represents the data.2. At what age is the yearly expenditure for cell phones the greatest? Round the answer to the nearest year. YOU MUST SHOW THE WORK FOR THIS PART!
What is the answer to part d
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−50.8+0.3x1+5.1x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−51.9+0.3x1+4.9x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
Pls help with below homework-) Show transformation of switching equation into a regression equation.

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