The multiple linear regression model y = 0 + 1x1 + 2x2 + 3x3 is fitted to
Question:
y = β0 + β1x1 + β2x2 + β3x3
is fitted to a data set of n = 44 observations. The parameter estimates β1 = 11.64, p% = 132.9, and β3 = 0.775 are obtained with standard errors s.e.(β^1) = 1.03, s.e.( β^2) = 22.8, and s.e.( β^3) =0.671. Should any of the variables x1, x2, and x3 be removed from the model?
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Related Book For
Probability And Statistics For Engineers And Scientists
ISBN: 9780495107576
3rd Edition
Authors: Anthony Hayter
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