Regression Analysis
...issue for OMNITRANS where there seems to be an inconsistency with there CNG fuel consumption. There continues to be variance in what is consumed each day compared to the amount of miles driven. This issue is very important to OMNITRANS because it makes it very difficult to plan for future use with the CNG industry. OMNITRANS wants to have a consistency with CNG use so they can plan for budgeting purposes and new contracts that are connected with the CNG usage. We are going to establish what we believe will be a good analysis for OMNITRANS to look at and establish what is needed in order to improve there fuel consumption within the industry. This will give them an overall picture of where there is a correlation between the two factors. In our particular study it is fuel consumed and miles driven.
Data Researched
What we have done is taken 5 days worth of data points from the Fleetwatch system's reports. Fleetwatch is based for all recording purposes for all of the OMNITRANS facility. This particular report gives full details of how much fuel is consumed on each day based on filling station onsite at the OMNITRANS facility. We took every 5th days worth of data from the first on. That data point days were the 1st, 6th, 11th, 16th and the 21st. Each of these days that was chosen also represented a day where all buses were in full use with little to no difference in there operating schedule. This was established as the best way of getting a good variation of data.
We took the data from both filling stations to come up with our X factor for each days worth of data points. This gave us an assortment of total fuel consumed for each day. That way we are not going to have an exact same number for each day. This represents a better view of the fuel used. Instead of taking an average of all fuel consumed for a month by using the 5 different days we are able to look at a...
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