Hypothesis Testing and Confidence Intervals in Regression

Hypothesis Testing and Confidence Intervals are fundamental inferential tools in regression analysis, used to draw conclusions about population parameters based on sample estimates. This topic is crucial for Zambian university students in economics, public health, and business analytics. It covers t-tests for regression coefficients, p-values, Type I and II errors, and the construction and interpretation of confidence intervals. Students learn to test economic hypotheses, assess statistical significance, and report results appropriately. Proficiency in these methods is essential for conducting valid research, contributing to policy analysis in Zambia, and succeeding in tertiary-level examinations and professional data-driven roles in various sectors.