pat INT 10 NO 6.7 Practice Analysis (Fitting a Line) Research questions: If a two-year old has a height of 93 cm and a weight of 17 kg, what is their predicted height and weight at age 18? For which measurement, height or weight, do you think the measurement at age 2 is a better predictor of the measurement at age 18? Introduction: We have body measurements for a sample of children who were measured at ages 2, 9, and 18. These children were born in 1928-29 in Berkeley CA. (Note: height_2 and height_ 18 represent the height of an individual at age 2 and 18, respectively. Similarly, weight_2 and weight_18 is the weight of the individual at age 2 and age 18) 200 120 190 100 outliers 180 Weight_18 (kg) 80 170 60 160 150 J 40 8 8 8 8 8 8 8 3 8 8 8 10 12 14 16 18 20 Height_2 (cm) Weight_2 (kg) predicted Height_18 = 45.797 + 1.444.(Height_2) predicted Weight_18 = 28.403 + 2.761.(Weight_2) Sample size: 136 Sample size: 136 R (correlation coefficient) = 0.549 R (correlation coefficient) = 0.416 In this assignment, answer the research questions AND demonstrate your understanding of the concepts in Module 6. Specifically, your answer should do the following: linear, positive Shing linear association > Describe the form, direction and strength of the relationship between the variables. Note any outliers. Discuss the correlation coefficient, r, and use it to in your answer. Interpret the initial values (if they make sense in the context) and rates of change of the regression lines in the context of this data. Use the regression lines to make a prediction for the child described. Upon reviewing both graphs of heights I weights there is a linear I posi direction ianspositive The weight graph does reflect outliers