Answer :
Answer: Prepare the Input Data: Gather the data you need to analyze. This could be speed, torque, and other relevant measurements.Load Necessary Libraries: Ensure you have the required R libraries installed. Common ones include ggplot2 for visualization and dplyr for data manipulation.Create the Model: Use the lm() function to create a linear model if you are looking to predict torque based on speed or other variables.Visualize the Results: Use ggplot2 to create plots that show the relationship between your input variables and the torque output.Here's a simple R code example:# Load necessary libraries
library(ggplot2)
library(dplyr)
# Example data (replace with your own)
data <- data.frame(
speed = c(10, 20, 30, 40, 50),
torque = c(15, 30, 45, 60, 75)
)
# Create the linear model
model <- lm(torque ~ speed, data = data)
# Print the summary of the model
summary(model)
# Plot the data and the model
ggplot(data, aes(x = speed, y = torque)) +
geom_point() +
geom_smooth(method = "lm", se = FALSE) +
labs(title = "Torque vs Speed", x = "Speed", y = "Torque")
Explanation:
