STA108: Regression Analysis

 

Lecture:                      MWF 1.10-2.00pm  Wellman 226

Discussion/Lab:         Tu 8.00-8.50am  Olson 223 (Section 1)

                                    Tu 3.10-4.00pm  Olson 223 (Section 2)

 

Instructor:        Rudolf Beran                                TA:   Senke Chen (Section 1)                   Erin Melcon (Section 2)

Office:               4208 MSB                                           1117 MSB                                      1117MSB

Office hours:   MWF 9.00-10.00am                            TR: 9-10am                                      M:3-4pm R:2-3pm       

Email:               e-mail: beran@wald.ucdavis.edu           email: skchen@ucdavis.edu              emelcon@wald.ucdavis.edu

 

Textbook:       Applied Linear Statistical Models, 5th ed., Irwin,

                        by  Kutner, Nachtsheim, Neter and Li.

 

Exams:            Midterm I:    October 26

                        Midterm II:  November 23

                        Final:            December 11

 

Course Syllabus

 

Announcements:

I.                   Midterm I, in class on Monday, October 26, will be based on HW #1-3 and on the supporting textbook material. Students should bring a calculator and up to two letter-size, double-sided sheets of notes.

II.                Midterm II covers Chapters 4 through 8, with emphasis on using the matrix approach in Chapter 5 for finding LSE's and associated confidence sets or tests. Students may bring two sheets of notes, with anything they wish written on these, and a calculator.

III.             No class on this Friday (Nov. 20)

 

Homework:

 

Assignment

Due Date

Solution

Chapter 1, #8, 10, 12, 19(data set), 20(data set), 23

Oct. 6

Solution 1

Chapter 1: #22(data set)

Chapter 2: #2, #7(parts a, b), #16(parts a, b), #26(parts a, b, and the R-squared calculation in part d)

Oct.13

Solution 2

Chapter 3: #2, 8 (skip e, replace d with a qqnorm residual plot) (data set) , 9(data set), 16 (skip b and f) (data set)

Oct. 20

Solution 3

Chapter 5:  #2, 5, 10, 12, 15

Oct. 27

Solution 4

Chapter 6: #5 (parts a to d) (data set), 6 (parts a,b), 7, 8

Nov. 3

Solution 5

Chapter 6: #25, 27

Chapter 7: #3(part b only) (data set), 7(part b only) (data set) , 22

Nov. 10

 

 

Solution 6

Chapter 7: #8 (data set) , 10

Chapter 4: #5  (data) , 12, 15 (data)

Nov. 17

 

Solution7

Chapter 8:  8(skip part b) (data) , 11 (data) , 16 (data1) ,(data2) ,20

Nov. 24

 

 

 

Exams:

Midterm I Solution

 

Discussion notes:

Discussion 1: Handout

Discussion 2: Handout1( .doc file or .r file), Handout2

Discussion 3: Handout1, Handout2

Discussion 4: Handout

Discussion 5: Handout1, Handout2

Discussion 6: Handout1, Handout2, Additional Handouts 1, 2

Discussion 7: Handout1, Handout2

Discussion 8: Handout1