When deciding which of two similar linear models to implement (one model has one additional variable

When deciding which of two similar linear models to implement (one model has one additional variable but other variables are identical) would the single most important factor to consider be R-squared, Standard error of the estimate, Coefficient significance, or none of these? I thought both R-squared and Standard error of the estimate were equally important.

 

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