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

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

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

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 ❤️

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.

Excellent!

Very easy to understand thank you sir

Sir you nailed it.

very much clear now

Great explanation!

Thanks sir, for the nice explanation

excellent explanation and demonostration sir

Thank you Sir

nice sir

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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?

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

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

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 ?

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

please provide regular videos