Perform the following steps:

1. Here, you can get the covariance matrix by inputting the first three variables in mtcars to the cov function:

        > cov(mtcars[1:3])
        Output:
                   mpg       cyldisp
        mpg  36.324103    -9.172379  -633.0972
        cyl  -9.172379     3.189516   199.6603
        disp -633.097208 199.660282 15360.7998

2. To obtain a correlation matrix of the dataset, we input the first three variables of mtcarsto the cor function:

        > cor(mtcars[1:3])
        Output:
                 mpg          cyldisp
        mpg   1.0000000  -0.8521620  -0.8475514
        cyl  -0.8521620   1.0000000   0.9020329
        disp -0.8475514   0.9020329   1.0000000