ScatterPlot Dataset1

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

library(ggplot2)
ggplot(data, aes(x = X1, y = Y)) +
  geom_point(
    color = "blue",
    size = 3,
    alpha = 0.7
  ) +
  geom_smooth(
    method = "lm",
    se = TRUE,
    color = "red",
    linewidth = 1
  ) +
  labs(
    title = "Scatter Plot X1 Terhadap Y",
    x = "X1",
    y = "Y"
  ) +
  theme_minimal() +
  theme(
    plot.title = element_text(
      hjust = 0.5,
      face = "bold"
    )
  )

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

library(ggplot2)
ggplot(data, aes(x = X2, y = Y)) +
  geom_point(
    color = "green4",
    size = 3,
    alpha = 0.7
  ) +
  geom_smooth(
    method = "lm",
    se = TRUE,
    color = "red",
    linewidth = 1
  ) +
  labs(
    title = "Scatter Plot X2 Terhadap Y",
    x = "X2",
    y = "Y"
  ) +
  theme_minimal() +
  theme(
    plot.title = element_text(
      hjust = 0.5,
      face = "bold"
    )
  )

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

library(ggplot2)
ggplot(data, aes(x = X3, y = Y)) +
  geom_point(
    color = "blue",
    size = 4, pch=10,
    alpha = 0.7
  ) +
  geom_smooth(
    method = "lm",
    se = TRUE,
    color = "red",
    linewidth = 1
  ) +
  labs(
    title = "Scatter Plot X3 Terhadap Y",
    x = "X3",
    y = "Y"
  ) +
  theme_minimal() +
  theme(
    plot.title = element_text(
      hjust = 0.5,
      face = "bold"
    )
  )

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