Regression Analysis • Our objective is to analyze the relationship between interval variables; • Regression analysis is used to predict the value of one variable (the dependent variable) on the basis of other variables (the independent variables). • Dependent variable: denoted Y • Independent variables: denoted X , X , , X 1 2 k 08/29/2022 Towson University - J. Jung 2 Regression Analysis • If we are interested only in determining whether a relationship exists, we may employ correlation analysis. • Regression analysis with two-variables is sometimes called simple linear regression. • Mathematical equations describing their relationships are also called models ...
Learning Objective How to pick the right statistical test To pick the correct statistical test you need to know • What your research question asking • The level of measurement of the variables • The distribution of the data Common Statistical Tests • T-test • Mann Whitney U • ANOVA • Kruskal Wallis Test • Chi-Square Test • Pearsons Correlation • Spearmans Correlation • Linear Regression • Logistic Regression What is your research question asking? Choosing a Statistical Test ...
HYPOTHESIS TESTS SO FAR • We’ve discussed • One-sample t-test • Dependent Sample t-tests • Independent Samples t-tests • One-Way Between Groups ANOVA • Factorial Between Groups ANOVA • One-Way Repeated Measures ANOVA • Correlation • Linear Regression • What do all of these tests have in common? PARAMETRIC VS. NON-PARAMETRIC • Parametric Tests – Statistical tests that involve assumptions about or estimations of population parameters. • (what we’ve been learning) • E.g., normal distribution, interval/ratio level measurement, homogeneity of variance • Nonparametric Tests • Also known as distribution-free tests • Statistical tests that do not rely ...
Introduction Introduction • Last Week – Recap • Correlation • How To Draw A Line • Simple Linear Regression • Summary Last Week - Recap Last Week - Recap • Hypotheses • Probability & Significance (p= ...
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