WASP - Simple Linear Regression
This course introduces the basic concepts of simple linear regression models. The course will discuss how linear regression models are used to assess strengths of relationship between variables or predict values of a continuous outcome in the presence of associated independent variables. Application of linear regression models in different research areas such as health and social sciences will also be discussed. Participants will have practical sessions on real life application of the method in SPSS.
Prerequisite: This course requires participants to have basic knowledge of statistics including understanding data types, outcomes types and summary statistics.
Timings and Agenda
|Timings||Day 1||Day 2|
|09:30 - 10:00||Registration/Coffee (The Wolfson Street, Wolfson Building)||Registration/Coffee (The snug, Waterside Restaurant, Holliday Building)|
|10:00 - 12:00||Correlation and Univariate regression with a continuous predictor||Multiple linear regression and interpretation of results|
|12:00 - 13:00||Lunch Break||Lunch Break|
|13:00 - 14:40||Linear Regression with a categorical predictor||Model assumptions and diagnostics|
|14:40 - 15:00||Coffee Break (The Wolfson Street, Wolfson Building)||Coffee Break (The snug, Waterside Restaurant, Holliday Building)|
|15:00 - 16:00||Practical Session||Practical Session|
Registration is now closed.
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