Predictive Analytics: Correlation Coefficient in Excel
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- Опубликовано: 10 фев 2025
- #CorrelationCoefficient #PredictiveAnalytics
Hello Friends,
In this video, you will learn how to calculate the Correlation Coefficient in Microsoft Excel. We have explained it using Excel Formula and Data Analysis Add-in.
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I was in search of this type of content for Demand Forecasting for 2 variables using associativity or correlation method, fortunately I got this. Nice content and well explained.
Glad it was helpful!
@@PKAnExcelExpert Please, share video on Demand Forecasting using Exponential smoothing including trend method. Also, I want to know how to calculate Trend and Forecast value for first period in this method. Hope to hear from you soon.
Very nice video lecture.
Thanks
Your tutorials are super useful.
Thanks for your valuable feedback
Thank you so much! This is great!
Thanks for your valuable feedback🙏
Excellent Man ... please continue
Wow, nice job
Thanks for your valuable feedback
Excellent
Thanks for your valuable feedback
awesome..
Thanks for your valuable feedback
what is that slider u are using on 11:31?
thank you
Most welcome
Sir,pls tell how to fill down formulad without shortcut key please
Could u plz provide us yoy percentage variance chart
Hi
Thanks for this vdo.
However, a small suggestion, i had seen an old video about making SPEEDOMETER's using Linear regression/Descriptive statistics analysis.
it seems the last past which you mentioned in this video showing the comparison between various variables, by just clicking on the move forward and backward button, i had seen similar type of vdo for SPEEDOMETER's using real meter's from cars
can you kindly check and make the same kind of speedometer's vdo please? its a request.
the one which can allow us to migrate from one range to other using linear regression/Descriptive Statisctics comparison, with moving forward and backward buttons.
Awaiting your reply please. :-)
I will try to make such video. Thanks for your valuable suggestion.
Nice video, but i have 1 question. Why when you have changed the height to 150 the predicted weight it was 72.5? Because the actual weight for 150 height is 56.
Reason is b/c it is a prediction. The correlation cofficient is .846, so just means strong relationship. If it was 1, then it would be exact. Right now, majority of the time, it will be close.