MCS 342 Problem Assignments

11. Linear Models

Sections to read	Topics	Problems to look at	"File" problems	Assigned problems	Due Date
11.1 11.2 11.3	Intro Linear models Least squares	11.1,11.3		11.6, 11.8 p.538: "it can be shown ...": Show it.	F 4/8
11.4	Properties of least squares estimators: simple linear regression	11.13	11.16, 11.18	11.17
~11.3	Extra credit	Problems on other optimality criteria: (ps) (pdf)
11.5	Inferences re linear regression parameters	11.19		11.9, 11.20	M 4/11
11.6	Inferences re linear combinations of betas	11.31		11.32
11.7	Prediction of Y values in linear regression	11.38, 11.39		11.32': Find the 90% prediction interval...
11.8	Correlation			11.46, 11.47	W 4/13
11.9	Some practical examples	Read!
11.10	Linear model: matrix formulation	11.55		11.56	F 4/15

"Problems to look at" are not to be turned in if they're not extra credit problems.

Keep "file" problems in a file for occasional inspection.

Turn in "assigned problems" on the given due date at the start of class.

Homework rules

Students are encouraged to discuss course topics with one another. On assigned work, though, you are expected to do the work on your own. Your discussion with other students should be confined to matters related to understanding the problems and general approaches to doing problems, and you should acknowledge those who help you in this way. You should not collaborate on problem solutions unless directed otherwise.

Acknowledge your sources (people and texts).
In nontrivial problems, show how you get your answers.
Turn in neat, well-written solutions, not messy first drafts. Trim "fringes." Staple multiple-page submissions.
Do not copy collaborative solutions; write up solutions in your own words.
Turn in homework on time. Each class day late reduces the possible points by 33%.
Do extra credit problems entirely on your own. Turn in solutions separately from regular homework.

Honor pledge: "On my honor, I pledge that I have not given, received, or tolerated others' use of unauthorized aid in completing this work."