A marketing analyst is studying the relationship between x = money spent on television advertising and y = increase in sales. One study reported the following data (in dollars) for a particular company. X 380 645 360 900 540 670 820 1,050 760 800 550 780 530 1,200 620 800 910 1,400 830 905 Using a statistical software package, one reports the regression analysis results. Summary Output Regression Statistics Multiple R 0.9522 R Square 0.9067 Adjusted R Square 0.8951 Observations 10 ANOVA SS MS F p-value Regression 620,817.3133 620,817.3133 77.7903 0.0000 Error 8 63,845.1867 7,980.6483 Total 684,662.5 Standard Coefficients Error t Stat p-value Intercept 27.5431 97.7069 0.2819 0.7852 X 1.1913 0.1351 8.8199 0.0000 The estimate of standard deviation for the regression model is