Question

Why would researchers believe that an ordinary least squares regression is superior to a partial correlation coefficient?

Answer 1

Halfway connection coefficient permits us to quantify the level of connection between two factors by changing the impact of others so it just simply reveals to us how solid/frail a relationship is. Then again OLS(oedinary least squares) is a numerical strategy which permits you to get the BLUE(Best Linear unprejudiced estimators) of the coefficient of the model.

so what does it implies?

It implies OLS will permit you to shape a model and will give you best gauges for the boundaries of that model.

When you get those boundaries you will have the option to figure esteems (extrapolate) in future. So we can obviously observe that OLS is a superior procedure becuase it permits one to shape a model with best gauges which would then be able to be utilized for foreseeing estimations of ward variable for some given arrangement of free factors.

connection is only a proportion of how solid a relationship between two factors is.