Discuss the reasons and situations in which researchers would want to use linear regression. How would a researcher know whether linear regression would be the appropriate statistical technique to use? What are some of the benefits of fitting the relationship between two variables to an equation for a straight line?
Answer:
A scientist may be keen on utilizing direct relapse in the event that he accepts that there may be straight connections among regressor and subordinate variable.
On the off chance that there's any sign of the linearity between regressor or a change of regressor then there should be motivation to utilize straight relapse.
There are a few advantages of utilizing direct relapse.
Right off the bat, the conditions are a lot easier to reasonable.
Also, there are less number of parameter and subsequently it diminishes the opportunity of over fitting.
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