Enter the Y-variable under "Responses" and the X-variable under "Continuous predictors". We will use instead Stat -> Regression -> Regression -> Fit Regression Model. However, now that we want to do inference for regression, In Labs 2 and 3, you did linear regression by going to Stat -> Regression -> Fitted Line Plot.
Recall that you can make scatterplots by going to Graph -> Scatterplot. Height of the child in centimeters at age 18 Weight of the child in kilograms at age 18 Height of the child in centimeters at age 9 Weight of the child in kilograms at age 9 Height of the child in centimeters at age 2 Weight of the child in kilograms at age 2 The results of the original study were published in. These children were measured at ages 2, 9, and 18. The study involved 136 children, all born in Berkeley, CA in 1928-1929. The data come from the Berkeley guidance study of children and were found here. Then log into Minitab and go to File -> Open -> Project to open the data file. You will determine how to predict a child's height or weight at a later age from their height or weight at an earlier age.įirst, download the data set GROWTH, which is available in Canvas. In this lab, you will investigate how fast children grow. Math 11, Lab 8 Lab 8: Predicting children's growth (Regression inference)
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