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slope Intercept -0.54265 53.425 Class example : This is 16 weeks of demand data. We want to understand the data. Is it seasonal? (Look at
slope Intercept -0.54265 53.425 Class example : This is 16 weeks of demand data. We want to understand the data. Is it seasonal? (Look at graph, blue line) Is there a trend? (Use linear regression model, orange line) Demand 46 Week 1 2 3 What forecast model should be used? (See Model tab) 4 Create the forecast for week 17. Demand = Intercept + Slope x Time 75 65 32 50 50 44 47 25 62 45 45 53 48 44 50 52.9 52.3 51.8 51.3 50.7 50.2 49.6 49.1 48.5 48.0 47.5 46.9 46.4 45.8 45.3 44.7 5 6 7 8 9 10 11 12 13 14 15 16 Level(0) Trend Excel formulas =SLOPE Y. X ) and =INTERCEPTI Y.X) Trend 80 70 60 50 40 30 20 10 0 1 N 3 3 4 5 5 6 7 7 8 9 10 11 12 13 14 15 16 -Seriesi Series2 slope Intercept -0.54265 53.425 Class example : This is 16 weeks of demand data. We want to understand the data. Is it seasonal? (Look at graph, blue line) Is there a trend? (Use linear regression model, orange line) Demand 46 Week 1 2 3 What forecast model should be used? (See Model tab) 4 Create the forecast for week 17. Demand = Intercept + Slope x Time 75 65 32 50 50 44 47 25 62 45 45 53 48 44 50 52.9 52.3 51.8 51.3 50.7 50.2 49.6 49.1 48.5 48.0 47.5 46.9 46.4 45.8 45.3 44.7 5 6 7 8 9 10 11 12 13 14 15 16 Level(0) Trend Excel formulas =SLOPE Y. X ) and =INTERCEPTI Y.X) Trend 80 70 60 50 40 30 20 10 0 1 N 3 3 4 5 5 6 7 7 8 9 10 11 12 13 14 15 16 -Seriesi Series2
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