In the examples of autocorrelation in regression in this chapter, the Durbin Watson statistic D was less
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In the examples of autocorrelation in regression in this chapter, the Durbin Watson statistic D was less than 2. What would it mean about the data if one found a significant value of D > 2? Does this explain why D is typically less than 2 when the errors are dependent?
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Related Book For
Statistics For Business Decision Making And Analysis
ISBN: 9780134497167
3rd Edition
Authors: Robert A. Stine, Dean Foster
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