The dataset: https://drive.google.com/file/d/1XqsEnwsLQ7QN1Q4aD30DIJePmiljr1tL/view?usp=share_link

Retrieved from: https://data.world/data-society/air-traffic-passenger-data

Using R programming, please fix the code!

By using the 'factor' function in R, how to fix this? to make sure that the 'Month' variable in both the 'train_data' and 'test_data' datasets have the same levels?

Coding taking the log transformation:

# Load data

data

# Create log transformation of 'Passengers' column

data$log_passengers

# Split data into training and testing sets

split

train_data

test_data

# Fit linear regression model using transformed data

model2

summary(model2)

#Checking the residuals

residuals

qqnorm(residuals)

qqline(residuals)

#Checking the normality of residuals

shapiro.test(residuals)

# Compare model performance using test data

prediction1

prediction2

Error encounter using this code:

> \# Fit linear regression model using transformed data > mode 12