Consider the following partially completed computer printout for a regression analysis where the dependent variable is the price of a personal computer and the independent variable is the size of the hard drive. SUMMARY OUTPUT ssicn') St&tistics Multiple R R Square 0.819361805 Adjusted R square 0.661687702 Standard Observations 36 ANOVA df Regression ss 3311603484 16211214.72 49327249.5b S' nificance F Total Intercept Hard Drive Ca acit 35 Coefficie Standard 50.84102383 246.9869514 217.7539792 26.12854674 33116034.84 stat 0.205844979 p .vajue 0.838139607 9S584E-10 Based on the information provided, what is the estimate for the standard error of the estimate for the regression model? Select one: o c. About 4,026 Just under 376.23 476,800 Approximately 690.50