MAT 3375 Regression Analysis

3 units
Mathematics
Faculty of Science
Modeling relationships between outcome (dependent) variables and covariates (independent variables) using simple and multiple linear regression models. Estimation and hypothesis testing using least squares and likelihood methods. Performing model diagnostics and assessing goodness of fit properties. Variable selection and finding the best fit. Non-linear regression and transformations. Weighted regression and generalized least square. Analysis of data using statistical software packages.

Components:

Laboratory
Lecture

Requirements:

Prerequisites: MAT 1341 , MAT 2371 , ( MAT 2375 or MAT 2378 or MAT 2379 ).

Previously Offered Terms:

Fall
Summer

French Equivalent:

Organized

226 responses

3.83

/ 5

strongly agree
42%
agree
27%
disagree
16%
strongly disagree
9%
25%
50%
75%
100%

Clear Expectations

108 responses

3.45

/ 5

strongly agree
32%
agree
19%
neither agree nor disagree
23%
disagree
14%
strongly disagree
12%
25%
50%
75%
100%

Learned a Lot

225 responses

4.01

/ 5

strongly agree
46%
agree
29%
disagree
15%
strongly disagree
5%
25%
50%
75%
100%

Recommend

118 responses

3.81

/ 5

strongly agree
42%
agree
34%
disagree
10%
strongly disagree
14%
25%
50%
75%
100%

Workload

118 responses

2.37

/ 5

very heavy
15%
heavier than average
35%
average
48%
lighter than average
1%
very light
1%
25%
50%
75%
100%

Fair Assessments

226 responses

3.73

/ 5

strongly agree
40%
agree
27%
disagree
15%
strongly disagree
12%
question not applicable
6%
25%
50%
75%
100%