I am looking to present the greatest predictor of performance given the following R output for multiple linear regression I used Linear regression analysis with a sample and recieved the table below. How do I interpret the results?
The underlying problem is finding the greatest contributor to $SMTQ$.

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*$SMTQ$ - Sports Mental Toughness Questionaire

*$Confa$ - Confidence

*$Consa$ - Constancy

*$Conta$ - Control

How do I understand the result sin the table? Is there any reason to calculate the standardized regression coefficients rather than the unstandardised ones listed in table? Should I present both values for a valid interpretation?


You have only one statistically significant covariate, which is 'smtq$confa' with p-value 4.65e-13. Other coefficients are not statistically significant even at 10% level. Standardization would not affect the p-values. Hierarchical or multiple linear regression would not give you different results in your setup, given the magnitude of the p-values for different coefficients.
So, the covariate 'smtq$confa' is the best predictor in your problem.
