Use the dataset gradesTV in the package openintro.

(a) Describe the variables in the dataset - what units are used. (you can use the h command).
(b) Fit a linear model of Grades on TV plot the data with the regression line.
(c) Plot the standardized residual plot and comment on the validity of the assumptions.
(d) Identify possible outliers, explain why you think they are outliers.
(e) Fit the model to the data without the outliers. Describe the difference between the i model and the original model.
(f) Do you think it is legitimate to remove these outliers?

Use the dataset gradesTV in the package openintro.

(f) Do you think it is legitimate to remove these outliers?

it would be f

Step-by-step explanation:

use the power rule  

( a b ) n = a n b n

to distribute the exponent.

apply the product rule to  

3 x 2 y 3 . ( 3 x 2 ) 2 ( y 3 ) 2

apply the product rule to  

3 x 2 . 3 2 ( x 2 ) 2 ( y 3 ) 2

raise  

3

to the power of  

2 . 9 ( x 2 ) 2 ( y 3 ) 2 multiply the exponents in   ( x 2 ) 2

.

apply the power rule and multiply exponents,  

( a m ) n = a m n . 9 x 2 ⋅ 2 ( y 3 ) 2

multiply  

2   by   2 . 9 x 4 ( y 3 ) 2

multiply the exponents in  

( y 3 ) 2 .

apply the power rule and multiply exponents,  

( a m ) n = a m n . 9 x 4 y 3

⋅

2

multiply  

3   by   2 . 9 x 4 y 6

step-by-step explanation: