A Linear Regression Model Was Fit to Data Collected Over $= - 11.9 + 3.37$

A linear regression model was fit to data collected over a 13 year period
Representing technology adoption over time. Based on the regression output below, the
Durbin Watson statistic indicates
Regression Analysis: Technology Adoption versus Time The regression equation is
Technology Adoption $= - 11.9 + 3.37$ Time

$\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & - 11.935 & 3.711 & - 3.22 & 0.008 \\ \text { Time } & 3.3709 & 0.4676 & 7.21 & 0.000 \end{array}$

$S = 6.30783 \quad \mathrm { R } - \mathrm { Sq } = 82.5 \%$

Durbin-Watson statistic $= 0.278634$

A) that the residuals are positively autocorrelated.
B) that the residuals are negatively autocorrelated.
C) that the residuals are not autocorrelated.
D) that the test is inconclusive.
E) none of the above; the Durbin Watson cannot be used for this model.