In the summary document,
include your answers to the questions with reasoning/explanation
if R is used to produce outputs, you need to include both the R script (copy & paste at the end of the document) and the critical output (as part of the answers or explanation) to show your work
For 11 (c), please note that 70-30 split (70% of observations for training and 30% for testing) is often used for non-longitudinal data. There are many ways to split the data randomly into train-test using R. Below is an example to split the “auto01” data set into train and test data sets using 70-30 rule:
n_tot = nrow(auto01) #total number of observation
pct_train = .7 #70% for training
n_train = pct_train * n_tot #number of observations for training
set.seed(123) #set seed to reproduce the sample
train_ind = sample(seq_len(n_tot), size = n_train) #the indices for the train set
train = auto01[train_ind, ] #train data set
test = auto01[-train_ind, ] #test data set
nrow(train)
nrow(test)
In the summary document, include your answers to the questions with reasoning/explanation
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