.1 pts Using the data from question 4, assume you are now interested in predicti

Question

.1 pts Using the data from question 4, assume you are now interested in predicting number of pets owned from number of yearly doctors' visits: a. Find the slope b. Find the intercept d. Write out the equation of the regression line and predict the number of pets owned for a person who visits the doctor 50 times a year. 6. (5 pts) In the following data set, the equation of the regression line to predict GP A from ge is y = . 15x-08. This line predicts that a person who is 23 years old will have a GPA of 3.27. However, looking at the data itself, a 22-year-old has a 3.9 GPA and a 25-year old has a 3.6 GPA, so shouldn't a 23-year-old have a GPA which is somewhere between 3.6 and 3.9? Explain why this prediction comes about (and makes sense), given the relationships we see in the data. 238 GPA 30 4.0 as a tea Num Lock Page nsert Hme Up

Explanation / Answer

The relationship in the data follow exact linear relation. this means that the values from age 18 start increasing till age 30. When we are forming the equation, we look at sum of sqaure distances between the AVERAGE value of y and rest of the points, since these points in real do not have perfect linearity, it is totally fine if the predicted value falls in this range

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