Suppose you are given data from a survey showing the IQ of each person interviewed and the IQ of his or her mother. That is all the information that you have. Your boss has asked you to put together a report showing the relationship between these two variables. I SUGGESTED A SCATTER PLOT OR A LINEAR ANALYSIS.
Do you think using two would be a good baseline? What if they don't correlate well?
Starting with the scatterplot and the linear analysis is a great step here.
If the scatterplot shows the linear relationship, then applying linear regression will definitely be useful.
Most of the time, the IQ of the child depends upon the IQ of their parents. Here, we are just considering the IQ of the mother and not the father, so there will be cases where the IQ of the child depends upon the IQ of the father. These cases can be some outliers as well but there are outliers in any data. So, that is going to work.
If they don't correlate, then that can be the case where the IQ of the child depends on his/her father. In that case, you can try considering the IQ of the father.
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