question archive CEEJENMGT 5980 Introduction to Decision Analysis Assignment it 1 Due Sept 13 REED Bonus; (5 points) Analyzing data and presenting the results is an important skill for engineers and scientists
CEEJENMGT 5980 Introduction to Decision Analysis Assignment it 1 Due Sept 13 REED Bonus; (5 points) Analyzing data and presenting the results is an important skill for engineers and scientists
Subject:MathPrice: Bought3
CEEJENMGT 5980 Introduction to Decision Analysis Assignment it 1 Due Sept 13 REED Bonus; (5 points) Analyzing data and presenting the results is an important skill for engineers and scientists. For this problem you will work on reporting basic statistics, fitting simple regression models. and plotting the results for easy visualization. You will use a modified version of the Bike Sharing Dataset from data from the article Fanaee and Gama (2013), "Event labeling combining ensemble detectors and background knowledge", Progress in Artificiaf Intelligence. The data can be downloaded from blackboard. This dataset contains two years of information about bike sharing and weather on a daily or hourly basis in Washington D.C. a) Find the mean, standard deviation, and number of observations of "rental bikes" for each attribute (column) in the dataset. Report the results in a table. Are the trends in the number of bike rentals expected? (0.5 point} b) Fit a regression model where rented bikes = an + ayFeeling Temperature for the entire dataset. Report the coefficients for the model and attach one plot clearly showing the data (scatter) and the fitted model (line). Are the results expected? (1 points) c) Find the mean, standard deviation, and number of observations of "rental bikes" for each season of the year. Report the results in a table. Are the trends in the number of bike rentals expected? (0.5 point) d) Fit one regression model where Rented bikes = an + alFeeling Temperature for each season. Report the coefficients for all models and attach one plot clearly showing the data (scatter plot) by season and the fitted models, including the model for the entire dataset. Are the results expected? Below is an example of how your plot should look like. (1 points} 10000 Winter regression Spring regression Summ or regression Fell regression Overel regression a Winter date - Spring data Summer date Fell date 0 5 10 15 2D 25 30 35 do 45 Feeling Temperature {deg C} monolbikesrented (-i e) Your boss wants to estimate how many spots to rent in the bike rack each week. Renting space is expensive because there are many competing bike rental companies and there are not many secure bike racks. How can the models you developed earlier in the problem be used to help your boss determine
