When and why do we use the Proportional, Binomial, and Poisson regression modelsHow and why do each of these models include degrees of freedom?

Question 14 You do a study on the impact of listening to classical music in babies on IQ scores 5 years later, when entering elementary school. You enroll a large sample of randomly selected families in this study and the study consists of recording how long the baby listened to classical music and their later IQ score. Doing a simple linear regression, you find that you can strongly predict IQ scores from the hours listened to classical music. What should you do next? a) Publish a paper on the "Mozart effect" - how listening to classical music causes babies to be smarter. O b) Take this effect at face value, after all you did an experiment, and it is important to trust the science. c) Do a regression using socioeconomic status (SES) to predict hours listened to classical music. Then do an additional regression using SES to predict later IQ scores. Correlate the residuals of those two regressions and use that correlation in the paper you publish. d) Do an additional regression to see…

A study shows that the correlation between head circumference and IQ score is 0.50. If a least-squares regression was performed, which of the following would be true? (Select all that apply) 25% of the varability in IQ score is explained by head circumference O 50% of the varability in IQ score is explained by head circumference 25% of the varability in head circumference is explained by IQ score 50% of the varability in head circumference is explained by IQ score

i need help writting this code