Concept explainers
When the monthly sales of a product are subject to seasonal fluctuations, a curve that approximates the sales data might have the form
y = β0 + β1x + β2 sin (2πx/12)
where x is the time in months. The term β0 + β1x gives the basic sales trend, and the sine term reflects the seasonal changes in sales. Give the design matrix and the parameter vector for the linear model that leads to a least-squares fit of the equation above. Assume the data are (x1, y1), …, (xn, yn).
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Elementary Statistics (13th Edition)
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- Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage