1) In regression analysis, the model in the form y = 0 + 1x + is called the

a) regression model. b) correlation model.c) regression equation. d) estimated regression equation.

2)Regression analysis is a statistical procedure for developing a mathematical equation that describes how

a) one dependent and one or more independent variables are related.one dependent,

b) one independent, and several error variables are related.

c) one independent and one or more dependent variables are related.

d) several independent and several dependent variables are related.

3)In regression analysis, the variable that is being predicted is the

a) intercept variable. b) error variable.c) dependent variable. d) independent variable.

(c) Write a short summary about the multiplication rule for independent events using your answers to parts (a) and (b) to illustrate the basic idea. 4.21 What's wrong? In each of the following scenarios, there is something wrong. Describe what is wrong and give a reason for your answer. (a) If two events are disjoint, we can multiply their probabilities to determine the probability that they will both occur. (b) If the probability of A is 0.7 and the probability of B is 0.5, the probability of both A and B happening is 1.2. (c) If the probability of A is 0.45, then the probability of the complement of A is -0.45.1. Define randomness, simulation and probability. Explain the differences between the 5 terms. Randomness: Randomness is the lack of pattern or predictability in events. A random sequence of events, symbols or steps has no order and does not follow an intelligible pattern or combination. Simulation: Theoretical Probability: Empirical Probability: Personal Probability