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: