Purchase Solution

Linear Regression Relationship Analysis

Not what you're looking for?

Ask Custom Question

Ten students in a graduate program were randomly selected. Their grade point averages (GPAs) when they entered the program were between 3.5 and 4.0.
The following data were obtained regarding their GPAs on entering the program versus their current GPAs:
Entering GPA
3.5
3.8
3.9
3.7
4
4
3.6
3.9
3.7
4
Current GPA
3.5
3.6
3.5
3.9
3.5
3.7
3.6
3.6
4
3.9

a.     Determine the linear regression equation for the data.
b.     Graph the regression equation
c.       Describe the apparent relationship between the entering GPAs and current GPAs for students in this graduate program.
d.      What does the slope for the regression line represent in terms of current GPAs?
e.     Use the regression equation to predict the current GPA of a student with an entering GPA of 3.6
Hi Tony, I need this question to be ansered in an excel format including formulas. I had another expert do it but I need more input on it, thanks

Purchase this Solution
Solution Summary

Linear regression relationship analysis is examined.

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

View More Free Quizzes
Related BrainMass Solutions

  • Linear Regression Analysis in EXCEL

    298888 Linear Regression Analysis of Real Estate Data See attached files. You are to use linear (single) regression only!

  • Linear Regression and Five Step Hypothesis

    191201 Five Step Hypothesis/ Linear Regression PRICE VS. AGE: A LINEAR REGRESSION: investigate the relationship and perform a linear regression statistical analysis on sample data collected.

  • Linear Regression Analysis

    CONCLUSION: There is no evidence to support the hypothesis that wages and age have a positive linear relationship. The solution uses a linear regression analysis to test the hypothesis that wages are positively correlated with age.

  • Reid Sanders Case Study: Linear Regression Analysis

    477785 Reid Sanders Case Study: Linear Regression Analysis Chapter 8 Problem 25 Reid Sanders.

  • Forecasting for WidgeCorp: Applied Managerial Decision-Making

    Where 'e' is the residual number; STEP 4 Non Linear Regression: The non linear regression describes the relationship between one or more selected variables and observed variables in a non-linear manner.

  • Real life applications of regression

     Is there a relationship between level of education and the salary earned? Linear Regression: In Linear Regression, the objective is to understand the impact of single variable on the variable of interest.

  • Linear Regression Analysis on Education and Wages

    236012 Linear Regression Analysis on Education and Wages From the following data set, develop a research question and formulate a hypothesis that can be tested with linear regression analysis.

  • Important Information About Statistical Techniques

    Multiple Linear Regression is a type of multiple regression in which it is assumed that the relationship between variables is linear, generally based on a bivariate scatterplot of the variables being studied.

  • Theory, analysis and interpretation of regression

    82314 Theory, analysis and interpretation of regression Theory of regression: How does regression relate to linear algebra? Regression terms and symbols: What is the difference between strong negative and strong positive?

View More Related Solutions