Please make a report (explanation) based on the above output. It shows the output after applying a linear regression model into this dataset : https://drive.google.com/file/d/1XqsEnwsLQ7QN1Q4aD30DIJePmiljr1tL/view?usp=share_link

using this R programming code:

# Load data

data

# Inspect data

str(data)

head(data)

# Check for missing values

sum(is.na(data))

# Summary statistics

summary(data)

# Visualize data

library(ggplot2)

ggplot(data, aes(x = Month, y = Passengers, color = Year)) +

geom_line() +

ggtitle("Air Traffic Passenger Data")

# Splitting data into training and testing sets

library(caTools)

set.seed(123)

split

train_data

test_data

# Model 1: Linear Regression

library(lm)

model1

summary(model1)