Overview
Description
Application of multiple regression and time series regression models in economics, life and environmental sciences. Computers will be utilized.
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Attributes
Standard
Learning Outcomes
- identify key elements in a prose research question or data description (cases/ experimental units, variables, types of variables/ levels of measurement) and make inferences about implicit causal assumptions and parameter of interest.
- formulate hypotheses symbolically and in writing.
- calculate descriptive statistics and the statistical test of interest using a statistical package.
- identify key elements correctly in output, and prepare informative graphics (including confidence bands for regression lines) and tables.
- outline in prose the descriptive statistics, statistical test, magnitude estimates, PVAR estimates, and graphics for inferential statistics prepared in SLO 3.
- assess the implications for the hypotheses and compose an appropriate conclusion about them.
- interpret the magnitudes of associations using both point estimates and confidence intervals, reporting results orally and in writing.