Scatter Plot Dataset 1

data=read.table(file.choose(), header=T)
data

##      Y  X1   X2   X3
## 1 57.5  78 2.75 29.5
## 2 52.8  69 2.15 26.3
## 3 61.3  77 4.41 32.2
## 4 67.0  88 5.52 36.5
## 5 53.5  67 3.21 27.2
## 6 62.7  80 4.32 27.7
## 7 56.2  74 2.31 28.3
## 8 68.5  94 4.30 30.3
## 9 69.2 102 3.71 28.7

#Scatter plot antara variabel X1 dan Y
library(ggplot2)

## Warning: package 'ggplot2' was built under R version 4.4.3

ggplot(data, aes(x = X1, y = Y))+
  geom_point(color = "deeppink", size = 4, pch = 18) +
  geom_smooth(method = "lm", color = "red", linewidth = 1, fill = "lightblue", alpha = 0.3) +
  labs(title = "Scatter Plot antara Variabel X1 dan Y", x = "Variabel X1", y = "Variabel Y") +
  theme_minimal() +
  theme(plot.title = element_text(hjust = 0.5, face = "bold"))

## `geom_smooth()` using formula = 'y ~ x'

#Scatter plot antara variabel X2 dan Y
library(ggplot2)
ggplot(data, aes(x = X2, y = Y))+
  geom_point(color = "green2", size = 4, pch = 8) +
  geom_smooth(method = "lm", color = "red", linewidth = 1, fill = "lightblue", alpha = 0.3) +
  labs(title = "Scatter Plot antara Variabel X2 dan Y", x = "Variabel X2", y = "Variabel Y") +
  theme_minimal() +
  theme(plot.title = element_text(hjust = 0.5, face = "bold"))

## `geom_smooth()` using formula = 'y ~ x'

#Scatter plot antara variabel X3 dan Y
library(ggplot2)
ggplot(data, aes(x = X3, y = Y))+
  geom_point(color = "blue", size = 4) +
  geom_smooth(method = "lm", color = "red", linewidth = 1, fill = "lightblue", alpha = 0.3) +
  labs(title = "Scatter Plot antara Variabel X3 dan Y", x = "Variabel X3", y = "Variabel Y") +
  theme_minimal() +
  theme(plot.title = element_text(hjust = 0.5, face = "bold"))

## `geom_smooth()` using formula = 'y ~ x'