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Below is an example of operating revenue for ConEdison (Gas and Steam) during the past 3 years (2010- 2012) Period Data 1 3462 2 3017 3 3707 4 3139 5 3349 6 2993 7 3629 8 2967 9 3078 10 2771 11 3438 12 3126 Use the Trend and Seasonal Method demonstrated to calculated the four SCALED seasonal indexes (correct to 3 decimal places). Quarter Scaled Seasonal Index Q1 Q2 Q3 Q4 De-seasonalize the data (after you have found the scaled seasonal index values). Find the linear regression equation using the de-seasonalized data: Use 2 decimal places. slope intercept R^2 What are the re-adjusted forecasts for 2013 (Q1-Q4) correct to 2 decimal places? Q1 Q2 Q3 Q4 The MAD for the trend and seasonal method (2 decimal places) is Using the original data, use linear regression to find the equation to perform a forecast: Use 2 decimal places. slope intercept R^2 What is the MAD for ordinary linear regression? (Use 2 decimal places). The Trend and Seasonal method is clearly better than ordinary linear regression. Circle the reason which explains why this is the case. The MAD is higher and the R^2 is higher. O The MAD is lower and the R^2 is lower. O The MAD is lower and the R^2 is higher. O The MAD is higher and the R^2 is lower