Simple Regression for Long Range Forecasts

Cynthia Fraser
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Cynthia Fraser: University of Virginia, McIntire School of Commerce

Chapter Chapter 5 in Business Statistics for Competitive Advantage with Excel 2016, 2016, pp 137-173 from Springer

Abstract: Abstract Regression analysis is a powerful tool for quantifying the influence of continuous, independent, drivers X on a continuous dependent, performance variable Y. Often we are interested in both explaining how an independent decision variable X drives a dependent performance variable Y and also in predicting performance Y to compare the impact of alternate decision variable X values. X is also called a predictor, since from X we can predict Y. Regression allows us to do both: quantify the nature and extent of influence of a performance driver and predict performance or response Y from knowledge of the driver X.

Keywords: Simple Linear Regression; Prediction Interval; Time Series Model; Unexplained Variation; Export Volume (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-32185-1_5

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DOI: 10.1007/978-3-319-32185-1_5

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