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Well I am applying Eviews 6,in my analyze I've encountered damaging GDP and FDI advancement rates. Be sure to recommend on how I could apply your transformations to my info. Thanks

When you fit a linear model to those data, you will get a predicted benefit for your indicate X=a (phone the predicted worth Y_a) as well as a predicted price when X=b (contact it Y_b). Then the per cent change in relocating from X=a to X=b is

Reply Rick Wicklin on January 22, 2013 eight:20 am A straightforward guideline is to log-renovate variables that selection around several orders of magnitude. As an example, if just one state includes a population of one million and A further provides a populace of the billion, that may be three orders of magnitude, so a regression model that includes the log(populace) is worthy of taking into consideration.

But the challenge is, there are several negative worth there. How do i log the data. must i just treat the unfavorable value = 0? Once i log The entire data utilizing microsoft excel, the detrimental values are handled as 'missing'.

Reply Shannon on December 24, 2017 10:45 am Hi Rick, I hoped you could give me some direction! I'm reworking my facts in preparation for any principal element analysis. I have 3 variables that i'm dealing with: Elevation, Slope, and Distance to City Edge. I have already checked out transforming Elevation and Slope using a log transformation (as that gave me improved effects than the usual square root transformation for both SAS Homework Help equally eventualities).

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Dilemma lies where by I want to consider pure log of information of all variables. All info is in % variety but have beneficial or negative values.

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