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What if analysis, can this be DONE??
Help me if anyone can!
I set up the function Trend(C1:C5). From this the function returns the Linear regression value for the latest data point C5. How can do a what if analysis to find the value at C5 that equals the Linear regression value i.e., solve for C5= Trend(C1:C5)? Any way it can be done? |
What if analysis, can this be DONE??
Per Help for the Trend function, if you omit the second argument, then C1:C5
are assumed to be the y-values corresponding to x-values of 1,2,...,5. If you also omit the third argument, then it will give predicted values corresponding to x-values of 1,2,...,5. If you only show one value from that array of 5 values, then it will be the first value, not the last value; i.e. Trend(C1:C5) as a single value will be the predicted value corresponding to C1, not C5. That said, the prediction line used by Trend(C1:C5) is the line with slope and intercept given by LINEST(C1:C5). Per Help for Linest, the slope will be the first output column, and the intercept will be the second output column. Given the slope and intercept, any point on that prediction line satisfies x=(y-intercept)/slope Jerry "Barbara Harris" wrote: Help me if anyone can! I set up the function Trend(C1:C5). From this the function returns the Linear regression value for the latest data point C5. How can do a what if analysis to find the value at C5 that equals the Linear regression value i.e., solve for C5= Trend(C1:C5)? Any way it can be done? |
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