#Menginput data
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 X1 dan Y
library(ggplot2)
model <- lm(Y ~ X1, data = data)
model # cek intercept & slope
##
## Call:
## lm(formula = Y ~ X1, data = data)
##
## Coefficients:
## (Intercept) X1
## 19.011 0.518
ggplot(data, aes(x = X1, y = Y)) +
geom_point(size = 3, color = "pink") +
geom_abline(intercept = coef(model)[1], slope = coef(model)[2], color ="black") +
labs(
title = "Scatter Plot X1 dan Y",
x = "X1",
y = "Y"
) +
theme_minimal()
plot(data$X1,data$Y,xlab="X1",ylab="Y",main="Scatter Plot X1 dan Y")
abline(lm(data$Y~data$X1),col="pink",lwd=3)
#Scatter Plot antara X2 dan Y
library(ggplot2)
model <- lm(Y ~ X2, data = data)
model # cek intercept & slope
##
## Call:
## lm(formula = Y ~ X2, data = data)
##
## Coefficients:
## (Intercept) X2
## 45.298 4.315
ggplot(data, aes(x = X2, y = Y)) +
geom_point(size = 3, color = "purple") +
geom_abline(intercept = coef(model)[1], slope = coef(model)[2], color ="black") +
labs(
title = "Scatter Plot X2 dan Y",
x = "X2",
y = "Y"
) +
theme_minimal()
plot(data$X2,data$Y,xlab="X2",ylab="Y",main="Scatter Plot X1 dan Y")
abline(lm(data$Y~data$X2),col="purple",lwd=3)
#Scatter Plot X3 dan Y
library(ggplot2)
model <- lm(Y ~ X3, data = data)
model # cek intercept & slope
##
## Call:
## lm(formula = Y ~ X3, data = data)
##
## Coefficients:
## (Intercept) X3
## 27.19 1.14
ggplot(data, aes(x = X3, y = Y)) +
geom_point(size = 3, color = "yellow") +
geom_abline(intercept = coef(model)[1], slope = coef(model)[2], color ="black") +
labs(
title = "Scatter Plot X3 dan Y",
x = "X3",
y = "Y"
) +
theme_minimal()
plot(data$X3,data$Y,xlab="X1",ylab="Y",main="Scatter Plot X1 dan Y")
abline(lm(data$Y~data$X3),col="yellow",lwd=3)