CompTIA Data+ (DA0-002)Data AnalysisEasy
A research team is investigating the relationship between the number of hours students spend studying per week and their final exam scores. They hypothesize that there is a positive linear relationship. Which statistical analysis technique would be most appropriate to test this hypothesis and quantify the strength and direction of the relationship?
- AChi-Square Test
- BT-test
- CANOVA
- DLinear Regression
Show answer & explanationAnswer & explanation
Correct answer: D. Linear Regression
Linear regression is used to model the relationship between a dependent variable (exam scores) and one or more independent variables (study hours), and to quantify the strength and direction of that linear relationship.
Why the other options are wrong
- A. Chi-Square Test is for relationships between categorical variables.
- B. A T-test compares means between two groups.
- C. ANOVA is used to compare means across three or more groups.
Linear Regression
A statistical method used to model the linear relationship between a dependent variable and one or more independent variables.
- Predictive analysis.
- Identifies strength and direction of linear association.
- Assumes linearity, independence, homoscedasticity, and normality of residuals.
Memory trick: Regression predicts the 'reg'ular trend.