Analyzing the Relationship Between GPA and Final Exam Scores: A Regression Analysis Approach

Regression analysis study on GPA and exam performance.

Andrew Taylor

Contributor

4.8

5 months ago

Preview (2 of 4 Pages)

100%

Purchase to unlock

Analyzing the Relationship Between GPA and Final Exam Scores: A Regression Analysis Approach - Page 1 preview image

Loading page ...

Analyzing the Relationship Between GPA and Final Exam Scores: A Regression AnalysisApproachCase Study 1A fifth grade science teacher wants to know if there is a relationship between final exam scores andoverall course points after adjusting for aquiz score. (Hint: In order to be successful, be sure to include ascatterplot to evaluate the various assumptions).Solution:Null Hypothesis (Ho):There is no relationship between final exam scores and overall course pointsafter adjusting for a quiz score.Alternative Hypothesis (Ha):There is a relationship between final exam scores and overall coursepoints after adjusting for a quiz score.Descriptive StatisticsMeanStd. DeviationNfinal exam score56.12501.8266720Course Points1125.9500124.9389220quiz score77.803720.0413920CorrelationsControl Variablesfinal examscoreCourse Pointsquiz scorefinal exam scoreCorrelation1.000.482Significance (2-tailed)..036df017Course PointsCorrelation.4821.000Significance (2-tailed).036.df170

Preview Mode

This document has 4 pages. Sign in to access the full document!

Report

Study Now!

XY-Copilot AI

Unlimited Access

Secure Payment

Instant Access

24/7 Support

Document Chat

Document Details

Subject

Statistics

Related Documents

View all

Solved Assignments

The Statistics of Inheritance

Explore how inheritance follows predictable patterns using Punnett squares and probability. This helps explain how traits pass from parents to offspring, aiding our understanding of genetics, variation, and evolution in species.

Class Notes

Estimation and Hypothesis Testing

Learn about Two-Way ANOVA, a statistical method to analyze the effects of two independent variables on one dependent variable. Understand main and interaction effects, assumptions, and how it differs from one-way ANOVA in factorial designs.

Solved Assignments