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Apr 29, 2024
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APST 470 - Linear Regression and Time Series (3 units)
Application of multiple regression and time series regression models in economics, life and environmental sciences. Computers will be utilized.
Prerequisite(s): APST 270 or ECON 262 or PSY 210 or STAT 152 or STAT 352 .
Units of Lecture: 3
Offered: Every Fall
Student Learning Outcomes:
Upon completion of this course:
1. Students will be able to 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.
2. Students will be able to formulate hypotheses symbolically and in writing.
3. Students will be able to calculate descriptive statistics and the statistical test of interest using a statistical package.
4. Students will be able to identify key elements correctly in output, and prepare informative graphics (including confidence bands for regression lines) and tables.
5. Students will be able to outline in prose the descriptive statistics, statistical test, magnitude estimates, PVAR estimates, and graphics for inferential statistics prepared in SLO 3.
6. Students will be able to assess the implications for the hypotheses and compose an appropriate conclusion about them.
7. Students will be able to interpret the magnitudes of associations using both point estimates and confidence intervals, reporting results orally and in writing.
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