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1.???????What is the goal of ordinary least squares (OLS) regression? (OLS is the formal name of the typical kind of regression analysis)
The goal of ordinary least squares (OLS) regression is to best predict one variable?s behavior against another.
For example, I would like to predict a participant?s Clinical Judgment Score against the simulation?s Simulation Design Score. My research question is Does the Simulation Design Score affect the participant Clinical Judgment Score? My hypothesis is that as the Simulation Design Score increases the participant?s Clinical Judgment Score will also increase. Therefore concluding the better the design of the simulation experience the better the participant will learn clinical judgement skills. If the variables are positively correlated, as the Simulation Design Scores increases the participants? Clinical Judgment Scores will increase. If the variables are negatively correlated, as the Simulation Design Scores increase the participants? Clinical Judgment Scores would decrease. If Clinical Judgment Scores do not react consistently in relation to Simulation Design Scores, they are either non-linear or are not correlated.
2.???????How does regression work (statistically, what happens when you perform a regression)?
To continue my hypothetical research question: I would run a simulation and afterwards each participant would evaluate the simulation using the Simulation Design Scale. Next

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