I want a forecast written report of 6 pages on the uploaded data.
|year||2017 (projection)||R2||linear regression|
|AK||ARICB||972.056||0.0054||y = -22.232x + 45814|
|AL||ARICB||31028.01||0.0217||y = -127.47x + 288135|
|AR||ARICB||5764.583||0.0147||y = -58.201x + 123156|
|AZ||ARICB||24279.14||0.0727||y = 207.42x - 394087|
|CA||ARICB||443299.57||0.0715||y = -771.79x + 2E+06|
|CO||ARICB||0.2595||y= -501.09x + 1E+06|
|CT||ARICB||0.2772||y= -296.77x + 601768|
|DC||ARICB||0.3859||y= -2.8686x + 5896.6|
|DE||ARICB||0.2644||y= 129.35x - 255978|
|FL||ARICB||0.1842||y= -652.23x + 1E+06|
|GA||ARICB||0.0691||y = -236.48x + 509641|
|HI||ARICB||0.2644||y = 129.35x - 255978|
|IA||ARICB||0.0502||y = 115.89x - 218026|
|ID||ARICB||0.0031||y = -33.842x + 80002|
|IL||ARICB||0.0537||y = -330.97x + 718397|
On the gas info data ( the chart is in the Excel file I sent. The data is in a plain word doc that you should be able to open. The y=mx+b equations for each state are for the given MSN code, which is labeled.
Gasoline Demand To The Year 2017
Length: 7 pages (1925 Words)
Forecasting The Demand of Gasoline to 2017
It is possible to forecast the demand of gasoline to the year 2017 using various econometrics techniques. The data that shows the consumption of gasoline through history is time series data and through rigorous econometrics techniques, it is possible that we estimate future demands given different variables.
The methods that are employed hereafter to forecast the demand of gasoline are, causal economic time series, traditional time series (moving average), trend time series, multivariate causal economic cross sectional regression forecast. For accurate forecasting the regression models have to be well defined and thought of.
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