1. The problem involves verifying the coefficients and intercept of a regression model related to parking spaces and store area. 2. The intercept is the value of the dependent variable when all independent variables are zero, here given as 1190.4952. 3. The coefficient for store area is 0.9893, meaning for each unit increase in store area, the dependent variable increases by approximately 0.9893 units. 4. The coefficient for parking spaces was incorrect, so we need to find the correct coefficient. 5. The coefficient is found using the formula for simple linear regression coefficients or from the regression output without rounding. 6. The coefficient of determination $R^2$ is 0.881, indicating that 88.1% of the variance in the dependent variable is explained by the model. 7. Since rounding is not allowed, all calculations must use full precision values. 8. Without the original data or regression sums, the exact coefficient for parking spaces cannot be recalculated here, but it must be consistent with the given intercept and store area coefficient. 9. The final verified values are: - Intercept: 1190.4952 - Store area coefficient: 0.9893 - $R^2$: 0.881 - Parking spaces coefficient: (correct value to be determined from full data, not rounded)