Data Mining and Machine Learning

Question 13 Not yet answered Marked out of 1.00 Flag question Question text A linear regression model is expressed as y 0+ 1x where 0 is the intercept and 1 is the slope of the line). The following equations can be used to compute the value of the coefficients 0 and 1.

Using the following set of data, find the coefficients 0 and 1rounded to the nearest thousandths place and the predicted value of y when x is 10. {(-1 , 0),(0 , 2),(1 , 4),(2 , 5)} What is the value of 0. Answer: Question 14 Not yet answered Marked out of 1.00 Flag question Question text 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 15 Not yet answered Marked out of 1.00 Flag question Question text Assume that you have a data set which produces the following data plot. You wish to predict if a new case would be a red case as opposed to a blue case based upon the input attribute data. Which technique should you use?

Select one: a. Linear Regression b. Curvilinear Regression c. Spline Regression d. Logistic Regression Question 16 Not yet answered Marked out of 1.00 Flag question Question text True/False: Data Mining can be said to be a process designed to detect patterns in data sets. Select one: True False Question 17 Not yet answered Marked out of 1.00 Flag question Question text True/False: Reinforcement learning features elements of both supervised learning and unsupervised learning as the outcome variable or predicted values are validated over time and feedback is used to continuously train the learning algorithm. Select one: True False Question 18 Not yet answered Marked out of 1.00 Flag question Question text 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. 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 predicted value of y (in millions of dollars) when the year is 2012?