Predictive Analytics: Regression analysis - R-Square and Adjusted R-Square Clearly Explained.

What are R-Value R-Square and Adjusted R-Square values in Regression Analysis? Predictive Analytics
In this video, I have explained exactly what is R-Value, R-Square and Adjusted R-Square coefficients in Regression analysis in a simple language with an example using SPSS software.

[@MyEasyStatistics]

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[@bobbyyankey5967]

The adjusted R square explanation is clearer to me now than at any other time. thank you for video

[@hollygoodson6025]

Very good video thanks! Loved the authentic Indian city traffic noises in the background too, made me nostalgic for a country I’ve never been to ❤️

[@asarafomar2]

A good 8 mins . Very rare to find explanation videos like this

[@educatewithdr.kavithasarav6430]

It's very pleasure to see your videos since it's clear my doubts with full clarification. Thank you once again for your service sir.

[@jagadeeshjade4382]

Sir, what if negative value get in regression. It meaning ? Sir.

[@kumarnn6115]

Very easy to understand thank you sir

[@sarahguinoubi2289]

Thank you very much Sir. I am writing an article for my thesis and I should write a paragraph to interpret the results. It is a linear regression between : balance skills-challenges and flow.
Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .455a .207 .200 .53404
a Predictors: (Constant), Balance_challenge_skills
F= 29,31, sig=,000
How should I please interpret this in a coherent paragraph ?

[@dr.b.venkatarao9007]

excellent explanation and demonostration sir

[@MyEasyStatistics]

Thank you

[@mavibluespecter6331]

Great explanation!

[@hedwigombunda9507]

Excellent!

[@Dr-syed-afzal-shah]

very much clear now

[@ushagupta3204]

What is difference between r squre and adjusted r square in simple language

[@adylmanulat2465]

good day sir, I just wanted to ask if an independent variable is not significant or does not have an explanatory power to the model but when removing it lowers the adjusted r-square what does this imply? so far the reason that i know the reason is because the t-statistic is greater than one. With this information, what can we infer?

[@mudassirahmadakhoon8394]

Sir you nailed it.

[@hanochamarana]

Thanks sir, for the nice explanation

[@yeohguanhong3721]

what if the adjust R-squared value remain the same after a new independent variable was added?

[@MyEasyStatistics]

It means there is no change in the model or independent variable added is not having any effect in the model

[@educatewithdr.kavithasarav6430]

Thank you Sir

[@ugcntanetpaper1164]

nice sir

[@ugcntanetpaper1164]

please provide regular videos

[@MyEasyStatistics]

Regular videos means?

[@ugcntanetpaper1164]

@@MyEasyStatistics means daily or weekly upload videos

[@MyEasyStatistics]

Ok

[@what_thefork]

👌

[@papa4669]

👏👏👏👏

[@skywalker8083]

👍😊🙏