Question: When survey data indicated that a company needed to improve its package-sealing process, an experiment was conducted to determine the factors in the bag-sealing equipment

When survey data indicated that a company needed to improve its package-sealing process, an experiment was conducted to determine the factors in the bag-sealing equipment that might be affecting the ease of opening the bags without tearing the inner liner of the bag. Data were collected on 19 bags and the plate gap on the bag-sealing equipment was used to predict the tear rating of a bag.

a. Is it necessary to compute the Durbin-Watson statistic in this case? Explain.

b. Under what circumstances is it necessary to compute the Durbin-Watson statistic before proceeding with the least-squares method of regression analysis?

No, because the number of observations is sufficiently small that autocorrelation is not a concern.

No, because the data were not collected over time.

Yes, it is always necessary to compute theDurbin-Watson statistic.

Yes, because the number of observations is sufficiently small that autocorrelation is a concern.

If fewer bags had beenselected, it would be necessary to compute theDurbin-Watson statistic.

If a larger number of bags had beenselected, it would be necessary to compute theDurbin-Watson statistic.

It is always necessary to compute theDurbin-Watson statistic.

If the survey involved collecting data overtime, it would be necessary to compute theDurbin-Watson statistic.

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