TABLE 13-5
the Managing Partner of an Advertising Agency Believes

TABLE 13-5
The managing partner of an advertising agency believes that his company's sales are related to the industry sales. He uses Microsoft Excel's Data Analysis tool to analyze the last 4 years of quarterly data with the following results:
$$\begin{array}{l}\text { Regression Statistics }\\\begin{array} { l c } \hline \text { Multiple R } & 0.802 \\\text { R Square } & 0.643 \\\text { Adjusted R Square } & 0.618 \\\text { Standard Error } S Y X & 0.9224 \\\text { Observations } & 16 \\\hline\end{array}\end{array}$$ $$\begin{array}{l}\text { ANOVA }\\\begin{array} { l r l r l r } \hline & d f & \text { SS } & \text { MS } & F & \text { Sig. } F \\\hline \text { Regression } & 1 & 21.497 & 21.497 & 25.27 & 0.000 \\\text { Error } & 14 & 11.912 & 0.851 & & \\\text { Total } & 15 & 33.409 & & &\end{array}\end{array}$$ $$\begin{array}{l}\text { Predictor }&\text { Coefficients}&\text { Standard Error }& t \text { Stat } &p \text {-value }\\\text { Intercept } & 3.962 & 1.440 & 2.75 & 0.016\\\text { Industry } & 0.040451 & 0.008048 & 5.03 & 0.000\end{array}$$ Durbin- Watson Statistic 1.59
-Referring to Table 13-5, the partner wants to test for autocorrelation using the Durbin-Watson statistic. Using a level of significance of 0.05, the decision he should make is

A) there is no evidence of autocorrelation.
B) there is not enough information to perform the test.
C) there is evidence of autocorrelation.
D) the test is unable to make a definite conclusion.