diff --git a/Questions concerning R language.md b/Questions concerning R language.md
index 5bba07e..0d8a797 100644
--- a/Questions concerning R language.md	
+++ b/Questions concerning R language.md	
@@ -13,8 +13,7 @@ This problem involves the `OJ` data set which is part of the `ISLR` package.
 ***Conceptual Question***
 
 Here we explore the maximal margin classifier on a toy data set.
-* We are given n = 7 observations in p = 2 dimensions. For each observation, there is an associated class label.
-
+* i. We are given n = 7 observations in p = 2 dimensions. For each observation, there is an associated class label. Sketch the observations.
 
 | Obs. | X1 | X2 | Y |
 | -------- | -------- | -------- | -------- |
@@ -26,14 +25,14 @@ Here we explore the maximal margin classifier on a toy data set.
 | 6    | 4   | 3   | Blue  |
 | 7    | 4   | 1   | Blue  |
 
-Sketch the observations.
-* Sketch the optimal separating hyperplane, and provide the equa- tion for this hyperplane.
-* Describe the classification rule for the maximal margin classifier. It should be something along the lines of “Classify to Red if β0 + β1X1 + β2X2 > 0, and classify to Blue otherwise.” Provide the values for β0, β1, and β2.
-* On your sketch, indicate the margin for the maximal margin hyperplane.
-* Indicate the support vectors for the maximal margin classifier.
-* Argue that a slight movement of the seventh observation would not affect the maximal margin hyperplane.
-* Sketch a hyperplane that is not the optimal separating hyper- plane, and provide the equation for this hyperplane.
-* Draw an additional observation on the plot so that the two classes are no longer separable by a hyperplane. 
+* ii. Sketch the optimal separating hyperplane, and provide the equa- tion for this hyperplane.
+* iii. Describe the classification rule for the maximal margin classifier. It should be something along the lines of “Classify to Red if β0 + β1X1 + β2X2 > 0, and classify to Blue otherwise.” Provide the values for β0, β1, and β2.
+* iv. On your sketch, indicate the margin for the maximal margin hyperplane.
+* v. Indicate the support vectors for the maximal margin classifier.
+* vi. Argue that a slight movement of the seventh observation would not affect the maximal margin hyperplane.
+* vii. Repeat parts (ii) through (v) using a support vector machine with a polynomial kernel. Set `degree=2`.
+Sketch a hyperplane that is not the optimal separating hyper- plane, and provide the equation for this hyperplane.
+* viii. Draw an additional observation on the plot so that the two classes are no longer separable by a hyperplane.