Question 6

20 points

A forecaster is assessing two different models for demand. The output from each model and the actual demand data appear in the table. Calculate MFE and MAD to compare the two models. Which model does a better job of forecasting?

Demand	Model 1	Model 2
52	55.0	51.0
52	54.7	51.9
60	54.4	52.0
56	55.0	59.2
58	55.1	56.3
58	55.4	57.8
52	55.6	58.0
57	55.3	52.6
53	55.4	56.6
57	55.2	53.4

Question 7

20 points

Develop a regression model for the following dataset based on your last two digits of Aggie ID.

Last Two Digits	Input (X): Ignore non numeric factors	Output (Y)
20	https://archive.ics.uci.edu/ml/datasets/QSAR+fish+toxicity	Quantitative response
25	https://archive.ics.uci.edu/ml/datasets/Computer+Hardware	ERP estimated relative performance
31	https://archive.ics.uci.edu/ml/datasets/Daily+Demand+Forecasting+Orders	Target_(Total_orders)
40	https://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand	Rented Bike count
64	https://archive.ics.uci.edu/ml/datasets/Computer+Hardware	ERP estimated relative performance
67	https://archive.ics.uci.edu/ml/datasets/QSAR+fish+toxicity	Quantitative response
78	https://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength	Concrete compressive strength
87	https://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength	Concrete compressive strength
93	https://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand	Rented Bike count
99	https://archive.ics.uci.edu/ml/datasets/Daily+Demand+Forecasting+Orders	Target_(Total_orders)