Given the following dataset for two classes Non-technical (-1) and technical (1).

Technical article refers to an article relating to technology and science and non-technical refers to other work of fictions. The data has two features: Average time required to read an article, i.e. Time and number of sentences in the article i.e. Sentences (2.2 represents 2.2k sentences or 2200 sentences).

Training is a process of finding the optimal value of coefficients (for our case B1 and B2).

time(hr)	sentences(1=1000)	Article type
2.7	2.5	0
1.4	2.3	0
1.3	2.4	0
1.3	1.8	0
3	3	0
7.6	2.7	1
5.9	2.2	1
6.9	1.8	1
8.6	3.5	1
7.7	3.5	1

1. Plot of the two classes Non-technical (-1) and technical (1) in Excel
2. Suggest and plot the hyperplane in Excel.
3. Use Weka tool to find the equation and its coefficients to predict the class of new sample whose Time= 1 Hour and Sentences = 2.4 thousand sentences. What is the prediction technical or non-technical article.
4. Use google to plot the graph