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Instruction 12  Regression statistics \text { Regression statistics }  ANOVA \text { ANOVA }

Question 4

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Instruction 12.30
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 analyse the last four years of quarterly data with the following results:
 Regression statistics \text { Regression statistics }
 Multiple R 0.802 R Square 0.643 Adjusted R  Square 0.618 Standard Error  SYX 0.9224 Observations 16\begin{array}{|l|l|}\hline \text { Multiple R } & 0.802 \\\hline \text { R Square } & 0.643 \\\hline \begin{array}{l}\text { Adjusted R } \\\text { Square }\end{array} & 0.618 \\\hline \begin{array}{l}\text { Standard Error } \\\text { SYX }\end{array} & 0.9224 \\\hline \text { Observations } & 16 \\\hline\end{array}

 ANOVA \text { ANOVA }
 df  SS  MS  F  Sig.F  Regression 121.49721.49725.270.000 Error 1411.9120.851 Total 1533.409\begin{array}{|l|l|l|l|l|l|}\hline & \text { df } & \text { SS } & \text { MS } & \text { F } & \text { Sig.F } \\\hline \text { Regression } & 1 & 21.497 & 21.497 & 25.27 & 0.000 \\\hline \text { Error } & 14 & 11.912 & 0.851 & & \\\hline \text { Total } & 15 & 33.409 & & & \\\hline\end{array}

 Predictor  Coef  StdError  t Stat  p-value  Intercept 3.9621.4402.750.016 Industry 0.0404510.0080485.030.000\begin{array}{|l|l|l|l|l|}\hline\text { Predictor } & \text { Coef } & \text { StdError } & \text { t Stat } & \text { p-value } \\\hline \text { Intercept } & 3.962 & 1.440 & 2.75 & 0.016 \\\hline \text { Industry } & 0.040451 & 0.008048 & 5.03 & 0.000\\\hline\end{array}


 Durbin-Watson 1.59 Statistic \begin{array}{|l|l|}\hline\text { Durbin-Watson } & 1.59 \\\text { Statistic } &\\\hline\end{array}


-Referring to Instruction 12.30,the value of the quantity that the least squares regression line minimises is____________.

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