Simple Linear Regression
CHAPTER 13: SIMPLE LINEAR REGRESSION
1. The Y intercept (b0) represents the
a) predicted value of Y when X = 0.
b) change in estimated average Y per unit change in X.
c) predicted value of Y.
d) variation around the sample regress
Time-Series Forcasting and Index Numbers
CHAPTER 16: TIME-SERIES FORECASTING AND INDEX
1. The effect of an unpredictable, rare event will be contained in the _
TYPE: MC DIFFICULTY:
4 Decision Making
CHAPTER 17: DECISION MAKING
1. A tabular presentation that shows the outcome for each decision alternative under the various
states of nature is called:
a) a payback period matrix.
b) a decision matrix.
c) a decision tree.
d) a payoff ta
Multiple Regression Model Building
CHAPTER 15: MULTIPLE REGRESSION
1. A real estate builder wishes to determine how house size (House) is influenced by family
income (Income), family size (Size), and education of the head of household (