Lecture 12, April 16 starts here
Data occur in time-ordered sequences is referred to as time series.
Our objective is to use past history of the series, say zt , where t is the time
index, to extrapolate it into the future. We want our forecas
Lecture 7, March 5 starts here
Example. Suppose all the relevant assumptions are satisfied and we find the
least squares estimator 0 and 1 for the model y = 0 + 1 x + . Then the
correlation between0 and 1 will be
a. always positive.
b. always negative.
Key Action 1ilerbs
Your rsum must be action oriented in order to catch the reader's eye. Listed below are a few ideas to help you start each
sentence or phrase on your resume with an action verb.
(list chey Action Verbs provided courtesy othodes College C
Lecture 2, Jan 29 starts here
The Normal distribution is a continuous bell-shaped probability distribution. It can be fully described by its mean and its variance. If X is normally
distributed, we write X N (X , X
), which is
Lecture 3, Feb 5 starts here
Review of calculus
Limits and derivatives
As x becomes larger, the value of 1/x become smaller. It can not reach 0,
but we can make 1/x as close to 0 as possible by making x large enough.
This is a limit statement:
Lecture 8, March 19 starts here
Multiple linear regression
Instead of studying the relationship between response y and one independent
variable x, we may also use linear model to study the relationship between
response y and multiple independent variabl
Lecture 4, Feb 12 starts here
A matrix is a collection of numbers ordered by rows and columns. It is
customary to enclose the elements of a matrix in parentheses, brackets, or
braces. For example, the following is a matrix:
5 8 2
1 0 7
Lecture 9, March 26 starts here
Special issues in linear regression
So far the X variables in the regression model y = 0 + 1 x1 + + p xp +
are numeric. In many cases, we have categorical variable. Say, gender is
a dichotomous variab