Is there a correlation between the number of hours a student works and the number of credit hours they are enrolled in? Data Compiled and presented by:

Slides:

Advertisements

Similar presentations

Simple Linear Regression and Correlation by Asst. Prof. Dr. Min Aung.

Advertisements

Overview of Techniques Case 1 Independent Variable is Groups, or Conditions Dependent Variable is continuous ( ) One sample: Z-test or t-test Two samples:

Eight backpackers were asked their age (in years) and the number of days they backpacked on their last backpacking trip. Is there a linear relationship.

10-3 Inferences.

CAFFEINE CONSUMPTION VS. HOURS OF SLEEP Amie Radtke, Julie Luckart, Drew Hanson, Sofiya Mykhalska, Melissa Young, Erin Brown.

Correlation and Regression

Data Analysis Statistics. Inferential statistics.

© 2000 Prentice-Hall, Inc. Chap Multiple Regression Models.

Multiple Regression Models. The Multiple Regression Model The relationship between one dependent & two or more independent variables is a linear function.

1 BA 275 Quantitative Business Methods Simple Linear Regression Introduction Case Study: Housing Prices Agenda.

Chapter Topics Types of Regression Models

Section 10-3 Chapter 10 Correlation and Regression Correlation

Data Analysis Statistics. Inferential statistics.

Alan Mangus Math April 15,  Purpose of the study (the research question): Can the age of adult male humans be used as a reliable predictor.

Regression and Correlation BUSA 2100, Sect , 3.5.

By Jayelle Hegewald, Michele Houtappels and Melinda Gray 2013.

Lecture 5 Correlation and Regression

Chapter 4 Two-Variables Analysis 09/19-20/2013. Outline  Issue: How to identify the linear relationship between two variables?  Relationship: Scatter.

Topics: Significance Testing of Correlation Coefficients Inference about a population correlation coefficient: –Testing H 0 :  xy = 0 or some specific.

Active Learning Lecture Slides

Chapter 13: Inference in Regression

Copyright © Cengage Learning. All rights reserved. 13 Linear Correlation and Regression Analysis.

The Age and Experience Statistical Study At Salt Lake Community College  By: Preston, Anna, Stefhanie and Dominick What is the average age at SLCC? What.

Section 12.1 Scatter Plots and Correlation HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems,

1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 15 Multiple Regression n Multiple Regression Model n Least Squares Method n Multiple.

Hypothesis of Association: Correlation

Group participation McKie Delahunty- created slides 1,4,5,6,7,8,11,12 & compiled all for powerpoint Jenica Hansen- created slides 2,3 Semhar Moges- created.

Multiple Linear Regression. Purpose To analyze the relationship between a single dependent variable and several independent variables.

Defining Success Understanding Statistical Vocabulary.

Group 9 Traci Mecham Kristina Hight Jonathan Fisher Morgaine Abawi Kiffen Davis.

Are the number of bedrooms and number of bathrooms significant predictors of monthly rent in the multiple regression model we estimated in class? Jill.

Does time spent on Facebook affect your grades? Study results presented by: Mary Vietti : Power Point Creator Justin Price : Editor & Conclusion Jacob.

Reasoning in Psychology Using Statistics

Chapter 13 Multiple Regression

DESIGNING, CONDUCTING, ANALYZING & INTERPRETING DESCRIPTIVE RESEARCH CHAPTERS 7 & 11 Kristina Feldner.

EMPLOYMENT AND EARNINGS James and Clayton. Topic of Interest Describes the economic status of all businesses in Canada (trends) Helps with determining.

Is Shoe Size Generally Proportional to Height? Katilyn Pangborn Hilary Christensen Jessica Howsden Jeffrey Ellsworth Tammy Kiholm.

Scatter Diagrams scatter plot scatter diagram A scatter plot is a graph that may be used to represent the relationship between two variables. Also referred.

Correlation. Up Until Now T Tests, Anova: Categories Predicting a Continuous Dependent Variable Correlation: Very different way of thinking about variables.

Heaven Kummer, Curtis Bryant, Bonni Patterson, Amy Evans.

 Is there a correlation between an adult’s body mass index (BMI) and their systolic blood pressure…

Statistics Group 1 Elisabeth Brino Jamie Derbidge Slade Litten Kristen Kidder Jamie.

1.What is Pearson’s coefficient of correlation? 2.What proportion of the variation in SAT scores is explained by variation in class sizes? 3.What is the.

Does Age Effect Grade Point Average? By Amanda Darrow and Dennis de Melo.

Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.

Grade Point Average, among working and non-working students Group 4 ●Bre Patroske ●Marcello Gill ●Nga Wargin.

1 1 Slide The Simple Linear Regression Model n Simple Linear Regression Model y =  0 +  1 x +  n Simple Linear Regression Equation E( y ) =  0 + 

Does Regular Exercise Improve GPA? By Kristin Miller, Patrick Ruhr, and Amna Sultan Introduction Through conversations with friends and other students,

The population in a statistical study is the entire group of individuals about which we want information The population is the group we want to study.

Purpose Data Collection Results Conclusion Sources We are evaluating to see if there is a significant linear correlation between the shoe size and height.

Carli Young Annaliese Prusse Stephanie Harper Hannah Minkus Patrica Molyneux Is Birth weight Related To Gestational Age?

BPA CSUB Prof. Yong Choi. Midwest Distribution 1. Create scatter plot Find out whether there is a linear relationship pattern or not Easy and simple using.

Does a Person’s Income Relate to Their Age?. Variables  Annual Income Measured in Dollars per Year  Age of Individual Measured in Years.

Unit 5: Regression & Correlation Week 1. Data Relationships Finding a relationship between variables is what we’re looking for when extracting data from.

Term Project Math 1040-SU13-Intro to Stats SLCC McGrade-Group 4.

MATH 1040 – FINAL PROJECT. Research Question  For SLCC (Utah) Summer 2013 students, is the number of concurrent class credits a student takes in high.

Math 1040 Term Project Group 2 Stacey Perko Shanda Miller Stephanie Baker Ben Mansell Heidi Kaibetoney.

Hypothesis Testing Example 3: Test the hypothesis that the average content of containers of a particular lubricant is 10 litters if the contents of random.

Introduction Many problems in Engineering, Management, Health Sciences and other Sciences involve exploring the relationships between two or more variables.

Scatter Plots and Correlation

Basic Estimation Techniques

S519: Evaluation of Information Systems

Basic Estimation Techniques

Math 1040 Group 7 Term Project Fall 2012

Math 1040 Term Project Group Members: Daniel Larsen, Aaron Magro, Whitney Marsh, Malinda Martinez & Angela McBeth.

The Multiple Regression Model

Purpose of the study To find out using statistical analysis if the amount of daily caffeine intake is related to weight of adult females.

Does time spent on Facebook affect your grades?

Cases. Simple Regression Linear Multiple Regression.

Presentation transcript:

Is there a correlation between the number of hours a student works and the number of credit hours they are enrolled in? Data Compiled and presented by: Anthony Garcia Alexandra Jensen Khalifa Wade Angi Luong

The purpose for the data we collected is to determine whether there is a correlation between the number of hours a student at Salt Lake Community College works and the number of hours they are currently enrolled in. Our group predicted that there would be a correlation between the two variables. We wanted to know if students who work full time have less time to spare on studying; if so, will they take fewer credit hours. Students who are working towards the completion of a degree would be more likely to work fewer hours and enroll in more credit hours per semester.

The data is to be collected based on random samples from 3 Salt Lake Community College campuses: 100 students from the Redwood Salt Lake Community College campus, 50 from the South City Salt Lake Community College Campus, and 50 from the Jordon Salt Lake Community College Campus. Students will be asked to answer a two question survey in which we ask them the Number of Hours Currently Enrolled In and Number of Hours Worked per Week. From this data we are going to determine if there is a correlation between the 2 variables or not.

Line of Regression Y= x R= Simple linear regression results: Dependent Variable: Number of hours enrolled in Independent Variable: Number of hours worked per week Number of hours enrolled in = Number of hours worked per week R (correlation coefficient) = C.V. (Critical Value) 0.05 level of significance.

Conclusion We were sure that there would be a correlation between our two variables because of our sampling method as well as our population being studied. Our conclusion is that between the number of hours students work and the number of credit hours enrolled, correlation exists because the absolute value of R (0.4556) is greater than our Critical Value (0.195). Our prediction seems to be accurate for the average student at Salt Lake Community College and is supported by the data we have acquired and tested.

Data Collection: Anthony Garcia, Alexandra Jensen, Khalifa Wade, and Angi Luong. Reported data used: Anthony Garcia, Alexandra Jensen PowerPoint Design: Alexandra Jensen Presenters: Anthony Garcia, Angi Luong, and Khalifa Wade.