Regression interpretations from R software

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This video lecture examines the use of R to generate regression results. Information apropos the fitness of the regression model, joint and partial significance of IVs, addressing multicollinear IVs, predictions, interpretation of regressors, specification, and writing of regression models and equations, etc.

HAPPY LEARNING!

[hasantalib]

Amazing teacher in YouTube, easy to pass the ideas to the students

[leonidaskyrgiakos]

You did great work once again! It would be great if you upload the initial xlsx file in a drive and share it here in Youtube, so that someone can practice on the subject! Keep up the good job!

[vibrantvic]

Hello Doc. I’d like to thank you for making your lecture videos easily and conveniently accessible.
Although, there’s a point of concern with the dummy variables in the sample Regression prediction(1:48:09)… If I understand your explanation correctly, any dummy variable or level that reflects in the question = 1. Hence, the reason “Religion Christian” =1.

My confusion stems from the point that “Fishing Trading” equally reflects in the question but is rather numerically valued as 0 instead of 1

I Will be most grateful if you could please throw more light on this Doc. 🙏🏽

[oluwamuyiwafunmiemmanuel]

Greetings from Nigeria, the topic is very educative and informative sir. however is it possible to share the data used for this tutorial

[crazyvlogs]

Sir, your DEA lectures are very beneficial to me; thanks. I am planning to conduct a research taking behavioral intention as output; attitudes, subjective norms, and perceived behavioral control as inputs; and different academic disciplines as DMUs. Data will be collected by questionnaires. Can I use these measurement scores from questionnaires as output and inputs to determine the best practice disciplines?