2. Following are data on the worldwide shipments of personal computers (in thousands) according to Dataquest. (a) Fit a linear model (T = bo + bịt) to this data using linear regression. Write the equation for the model, calculate the fitted values and the residuals. Calculate MSE and MAD for this model. (b) Repeat the procedures in (a), but for the quadratic model (T; = bo + bịt+ bat?), using the quadratic regression option in your calculator. (c) Compare MSE for both models and MAD for both models to decide which model fits better. Do not look at R? calculations or other traditional regression diagnostic tools (they are not appropriate for time series - the observations are not independent).
2. Following are data on the worldwide shipments of personal computers (in thousands) according to Dataquest. (a) Fit a linear model (T = bo + bịt) to this data using linear regression. Write the equation for the model, calculate the fitted values and the residuals. Calculate MSE and MAD for this model. (b) Repeat the procedures in (a), but for the quadratic model (T; = bo + bịt+ bat?), using the quadratic regression option in your calculator. (c) Compare MSE for both models and MAD for both models to decide which model fits better. Do not look at R? calculations or other traditional regression diagnostic tools (they are not appropriate for time series - the observations are not independent).
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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