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Sunday, April 14, 2024 10:51:30 AM
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Using the IBM definition of Linear Regression for those who are NOT familiar with it:
Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict
is called the dependent variable.The variable you are using to predict the other variable's value is called the independent variable.
Taken from
https://www.ibm.com/topics/linear-regression
So X is what I called the coefficient and is the independent variable since it is incremented by 1 each quarter
Y is the dependent variable and represents the Revenue which is analyze by the formulas generated
in the from Y = MX + B
UTILIZING THE Y = MX + B DERIVED FROM THE 11 COEFFICIENTS to Estimate the 1st Quarter Revenue
Using Y=MX + B For the 3 Years, if SRMX performs like the last 3 years
Revenue = 5137*Coefficient - 14463
Revenue = 5137*12 - 14463 = $47,181
Using Y=MX + B For the 2 Years, if SRMX performs like the last 2 years
Revenue = 9813*Coefficient - 53634
Revenue = 9813*12 - 53634 = $64,122
Using Y=MX + B For the 1 year, if SRMX performs like the last year
Revenue = 35926*Coefficient - 307578
Revenue = 35926*12 - 307578 = $123,534
GO SRMX(TCCI)$
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