The data referred to in this question were collected from several sales districts across the country. The data represent sales for a maker of asphalt roofing shingles. Information on the following variables is available. Sales Sales from last year in thousands of squares Expenditures Promotional expenditures in thousands of dollars Accounts Number of active accounts Competing brands Number of competing brands producing equivalent or similar products District potential A coded indicator of the potential of the district Partial SPSS regression output of a multiple regression model with sales as the response variable and the other four variables as predictor variables are given below. ANOVA df Sum of Squares 176777.1 1937.137 178714.2 Model 1 Regression Residual Total Mean Square 44194.265 92.245 F 479.099 .000 21 25 Coefficients Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta 1 (Constant) 178.320 12.960 13.759 Promotional Expenditures 1.807 1.081 .039 1.672 Number of Active Accounts 3.318 .163 .558 20.368 Number of Competing Brands -21.185 .788 - 647 -26.887 District Potential .325 .468 .018 .694 What is the estimate for the standard error/deviation o? Sig. .00000 .10944 .00000 .00000 49544 12.960 9.604 92.245 O 1937.137