Auto-correlation in multiple linear regression can be measured using
a. Durbin-Watson statistic
b. Adjusted R2
c. Principal component analysis
d. Variance inflation factor
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Answer:Durbin Watson method
Step-by-step explanation:Statistical software such as SPSS may include the option of running the Durbin-Watson test when conducting a regression analysis. The Durbin-Watson tests produces a test statistic that ranges from 0 to 4. Values close to 2 (the middle of the range) suggest less autocorrelation, and values closer to 0 or 4 indicate greater positive or negative autocorrelation respectively.
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