CHAPTER 1 NOTES
He (Jesus) replied, When evening comes, you say, It will be fair weather, for the sky is
red, and in the morning, Today it will be stormy, for the sky is red and overcast. You
know how to interpret the appearance of the sky, but y
Inventory Three-Qtr Five-Qtr
The problem indicates, as does real life, that experience is
a statistically significant determining factor of a salary, if a
95 percent c
CHAPTER 8 NOTES
1. Combined forecasts:
a. Different variables and/or different relationship in the models provide
different information combining forecasts from different models is to
obtain as much information as possible this may improve t
CHAPTER 4 NOTES
1. The bivariate (simple linear least-squares) regression model:
a. Show the linear relationship between two variables.
b. Population regression model: Y = 0 + 1X +
Y, the dependent variable; X, the independent variable;
CHAPTER 2 NOTES
Seven years of great abundance are coming throughout the land of Egypt, 30 but seven
years of famine will follow them. Then all the abundance in Egypt will be forgotten, and
the famine will ravage the land. 31 The abundance in the
CHAPTER 3 NOTES
Elisha replied, Hear the word of the LORD. This is what the LORD says: About this
time tomorrow, a seah of the finest flour will sell for a shekel[b] and two seahs[c] of barley
for a shekel at the gate of Samaria. (2 Kings 7:
CHAPTER 6 NOTES
a. Trend (T): long-term movement.
b. Cyclical (C): the wavelike variation around the trend.
c. Seasonal (S): pattern recurs regularly over every year.
d. Irregular (I): unpredictable or random change.
e. A m
CHAPTER 5 NOTES
1. The multiple-regression model:
a. More than one independent variable.
b. The population equation, Y = 0 + 1X1+ 2X2 + + kXk +
c. The estimated equation, = b0 + b1X1+ b2X2 + + bkXk
d. Minimize (Y- ) 2 to obtain the estimate