Data Mining and Machine Learning

Question 8 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 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 9 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 y. Answer: Question 10 Not yet answered Marked out of 1.00 Flag question Question text Assuming you have a linear model in which the value of m is .05 and the value of b is 10 that explains the relationship between income and credit extended. If income is 50,000, what credit will be extended? Select one: a. 500 b. 5010 c. 2050 d. 2510 Question 11 Not yet answered Marked out of 1.00 Flag question Question text True/False: A linear regression model can be used to predict categorical data values. Select one: True False Question 12 Not yet answered Marked out of 1.00 Flag question Question text The following diagram represents which technique?

Select one: a. Linear Regression b. Curvilinear Regression c. Spline Regression d. Polynomial curve fitting