I am new here and appreciate your clarity on the explanation. My request, if possible, is for you to explain the implication of some values to the proposed model e.g. R = e.g. if R is as low as 0.1 or as high as 0.9, what does the researcher need to do. R square = e.g. if the value is 0.2 i.e. 20% compared to 0.78 i.e. 78% what does this mean for the researcher. Coefficients of the model variable - in this case, you seem to suggest that the significance of the coefficients does not matter as your final model included variables with both significant and non-significant values. While this video explains the concept well, one still needs to go elsewhere and understand how to proceed from your example. Otherwise, continue doing the good work.
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You did well, Boss.
Thank you so much sir
I am new here and appreciate your clarity on the explanation. My request, if possible, is for you to explain the implication of some values to the proposed model e.g.
R = e.g. if R is as low as 0.1 or as high as 0.9, what does the researcher need to do.
R square = e.g. if the value is 0.2 i.e. 20% compared to 0.78 i.e. 78% what does this mean for the researcher.
Coefficients of the model variable - in this case, you seem to suggest that the significance of the coefficients does not matter as your final model included variables with both significant and non-significant values. While this video explains the concept well, one still needs to go elsewhere and understand how to proceed from your example. Otherwise, continue doing the good work.