Question 5

The sales of a company (in million dollars) for each year are shown in the table below, identify the linear regression model in the form y=mx+b and report the values of m (slope) and b (intercept) as well as the estimated value of y when the value of x is 10.

x (year)	2005	2006	2007	2008	2009
y (sales)	12	19	29	37	45

NOTE: You should consider the value x as the elapsed time. For 2005 this would be 0 years, for 2006 it would be 1 year and for 2012 it would be 7 years.

What is the value of m?

(NOTE: The next 2 question relate to this same problem but are separated to be acomodated by moodle)

Answer:

Question 6

When using a relational database engine as the backend for analytics processing, the acronym _____ is used to describe it.

Select one:

a. MOLAP

b. ROLAP

c. OLAP

d. RDBMS

Question 7

True/False: A linear regression model can be used to predict categorical data values.

Select one:

True

False

Question 8

Assume that you had a variety of data including medical history, diet, heredity factors on individuals who developed cancer and you wanted to use this data to determine whether a person is likely to develop cancer. Which technique would be the most promising to start with?

Select one:

a. Classification

b. Regression

c. Clustering

d. Estimation