MechaCarChallenge.R

# Step 1 Download the MechaCar_mpg.csv file, and place it in the active directory for your R session.

# Step 2 Create a new RScript in your R source pane, name it MechaCarChallenge.RScript, and save it to your active directory.

# Step 3 Use the library() function to load the dplyr package.
library(dplyr)

# Step 4 Import and read in the MechaCar_mpg.csv file as a dataframe.
library(readr)
MechaCar_mpg <- read_csv("MechaCar_mpg.csv")

# Step 5 Perform linear regression using the lm() function. In the lm() function, pass in all six variables (i.e., columns), and add the dataframe you created in Step 4 as the data parameter.
lm(mpg ~ vehicle_length + vehicle_weight + spoiler_angle + ground_clearance + AWD,data= MechaCar_mpg)

# Step 6 Using the summary() function, determine the p-value and the r-squared value for the linear regression model.
summary(lm(mpg ~ vehicle_length + vehicle_weight + spoiler_angle + ground_clearance + AWD,data= MechaCar_mpg))