Question 16

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.

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

Answer:

Question 17

True/False: Supervised learning features both input variables or attributes and an output or predicted variable.

Select one:

True

False

Question 18

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 19

The income of a company that produces disaster equipment has been expressed as a linear regression model based upon the input variable which is the number of hurricanes projected for the upcoming hurricane season. The model is express as Y = mX + b where Y is the estimated sales in millions of dollars, m = .67 and b = 8.2. Assuming that the weather service is predicting 12 hurricanes during the season what are the sales in millions of dollars expected to be?

72