Question: Problem 4: You are using a simple linear regression to predict the skill level of NBA players' sons from the skill level of their fathers.

Problem 4: You are using a simple linear

Problem 4: You are using a simple linear regression to predict the skill level of NBA players' sons from the skill level of their fathers. According to the prediction how will the sons compare with their fathers? On average they will be: (1) Same (2) Worse (3) Better and (4) Can't be determined Problem 5: When you are not sure about how the influencing factors interact with each other, Randomization of input may not be the correct way to find interaction. True or False? Explain with an example. Can replication impact randomization? If yes, how? Problem 6: How different assumptions of error influence regression analysis? Explain the difference between least square method and sum of absolute errors method in regression analysis. Problem 7: What are the different techniques that can be used to prevent bias? Explain with examples. How you can prevent bias in half factorial design

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