feyeb StRal5. Use regression to determine an exponential model for the following data. Round allparameters to 3 decimals.15 20 2210d1402504107801300 1670CE OTTAS

Regression is used for prediction purpose. equation of line of regression is y= a+bx where y is…

Answered: 5. Use regression to determine an…

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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Find the exponential function that models the data in the table below. -4 -3 -2 2 3 8 8 8 8 24 72 216 81 27 What is the exponential regression of the data? y=D
For the following data of sales data. Use exponential smoothing to forecast sales in the next week. Use α = 0.1, and 0.4 and compare errors. Graph the original and forecasted data.
NAME: 2. The table below gives the U.S. population for selected years from 1950 to 2010. Year Population (millions) 1950 1960 1970 151.3 179.3 203.3 1980 226.5 1990 248.7 2000 281.4 308.7 2010 (a) Using an exponential function of the form y = a b*, with x = 0 in 1900 and y equal to the population in millions, write an equation that models the data. Round a and b to 2 decimal places. (b) Use the model to predict the population in 2020. (c) Use your graph to predict when the population will be 400 million. Round x to the nerest whole number.
Which of the following variables could be the dependent variable in a Logistic Regression? BMI Survival (yes or no) Grade in School All of the above
determine the equation of the logarithmic regression function for the data. x, 1,2,3,4,5,6 y, 0.0, 3.2,4.5,5.0,5.4,5.6
An
The following table represents the survey results from the 7 online stores. Use linear regression to find the linear equation that is the best fit for the data, with x equal to the Online Advertising. Round your coefficients to three decimal places. Online Advertising Monthly e-Commerce Sales Online Store (in thousand dollars) (in thousand dollars) 1 1.5 368 1.7 340 3 2.8 665 4 5 954 1.3 331 6. 2.2 556 7 1.3 376 LO LO
For the given set of data, find the regression equation and round to the nearest unit for all numbers. x y 22 180 24 195 33 250 37 280 41 310 52 390 68 500 75 700
The following table of values gives a company's annual profits in millions of dollars. Rescale the data so that the year 2005 corresponds to x = 0. Year 2005 2006 2007 2008 2009 2010 Profits (in millions of dollars) 51.8 63.4 66.3 65.8 62.1 63.8 Find the exponential regression model for this data.
The table below shows the number of people in an arena t minutes after an event has ended. t = minutes after event ended f(t) = number of people in arena 7 14 21 28 35 42 11396 5948 3074 1557 829 428 Use the regression capability of your graphing calculator to find an exponential equation matching this data. Round values to three decimal places. f(t) = Now, use your equation (with values rounded to three decimal places) to help you answer the following questions. (Note: do not use the data table to answer these questions) Round your answers to the nearest whole number. How many people were in the arena 29 minutes after the event ended? How many people were in the arena 58 minutes after the event ended? How many people were in the arena at the exact moment the event ended?
Use exponential regression to extrapolate the value of y when x = 6. Round your answer to the nearest whole number. X y ¹2 77 -1 65 0 56 1 47 2 40 3 34 (Record your answer in the numerical response box from left to right.)
Use this data and develop a model of a truck's annual maintenance expenses based on its weekly usage in hours. b1 = (Keep three decimal places) Weekly Usage (hours) Annual Maintenance Expense 13 17.0 10 22.0 14 25.0 18 27.0 22 37.0 27 34.0 25 33.0 31 39.0 40 51.5 38 40.0

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5. Use regression to determine an exponential model for the following data. Round all parameters to 3 decimals. 5 10 15 20 22 d 140 250 410 780 1300 | 1670