Regression analysis Q. 1. Plot the regression lines from the following information:Values of x =1245.Values of y =8011090120150

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Answered: Q. 1. Plot the regression lines from…

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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In multiple regression analysis, a dummy variable is Multiple Choice a nominal variable with only two values an ordinal variable with three or more values a new regression coefficient an additional quantitative variable
In multiple regression analysis, which model selection procedure permits variables to enter and leave the model at different stages of its development? O Stepwise regression O Backward elimination O Forward selection
Residuals I Tell what each of the residual plots below indicates about the appropriateness of the linear model that was fit to the data.
70. College Costs The table lists the average tuition and fees (in constant 2014 dollars) at public colleges and universi- ties for selected years. Year 1984 1994 2004 2014 Tuition and Fees (in 2014 dollars) 12,179 16,188 7626 9386 Source: National Center for Education Statistics. (a) Find the equation of the least-squares regression line that models the data. (b) Graph the data and the regression line in the same viewing window. (c) Estimate the cost in 2009. (d) Use the model to predict the cost in 2019.
Demand for Smartphones The following table shows worldwide sales of a type of phone and their average selling prices in 2012, 2013, and 2017. Year 2012 2013 2017 Selling Price p ($100) 4 Sales q (billions) 0.5 3 1 2 2 Find the regression line (round coefficients to one decimal place). q(p) = 1.0166 X Use the regression line to estimate the demand (in millions of units sold) when the selling price was $320. 1016.6 million
Regression establishes functional relationship between and variable. a. Cross and Managerial O b. Mutual and Managerial O C. Average and Mutual O d. Independent and dependent
Using R-Studio, estimate a regression equation to determine the effect of the real interest rates, the exchange rate and the GDP growth rate on the Merchandise trade (% of GDP). (All codes and regression output should be provided). NOTE: R-Studio should only be used for obtaining the regression output and the regression equation. (i) Write down the regression equation. Year Merchandise trade (% of GDP) Real interest rates (%), GDP growth (annual %) Official exchange rate (per US$). 2000 150.28 10.05 -1.4 182.43 2001 149.12 16.63 2.3 187.32 2002 144.60 13.36 1.1 190.67 2003 146.56 9.81 -0.6 193.88 2004 157.91 7.27 1.6 198.31 2005 162.57 6.42 -2 199.88 2006 62.06 -58.33 5.1 200.19 2007 63.64 5.91 7.2 202.35 2008…
Applied Voltage (v) 10 15 20 25 30 35 40 45 50 Current (mA) 7 10 14 16 19 24 26 29 33 36 (a) Draw a scatter diagram to represent this data. (b) Find the equation of the least squares regression line relating Current to Applied Voltage.

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Q. 1. Plot the regression lines from the following information: Values of x = 1 3 4 5. Values of y = 80 110 90 120 150