Essay on Student: Regression Analysis and Dependent Variable

Submitted By mark12888
Words: 1399
Pages: 6
Open Document
SEVERAL MULTIPLE REGRESSION RESULTS: -
Regression of average hourly earnings on education, gender, age, experience as follows:-

Dependant variable: average hourly earnings (in dollars)
Repressors’ (Independent variables) (1) (2) (3) (3-2)
Education 6.865** 8.32** 8.625**
SE (.1783) (.2186) (.2154)
T-value (38.48) (38.07) (40.04)
Gender -3.1578** -3.095**
SE (.1803) (0.1802)
T-value (-17.50) (-17.18)
Age 0.4392**
SE (.0305)
T-value (14.38)
Experience 0.7810** 1.49**
SE (0.1564) (0.1451)
T-value (4.99) (10.25)
Experience^2 -0.046** -0.047**
SE (0.00714) (0.0066)
T-value (-6.47) (-7.30)
Intercept 1.8838* 14.332** 3.038** 4.951**
SE (0.92) (0.8069) (0.7994) (0.7929)
T-value (2.046) (17.76) (3.80) (6.24)

Summary of Statistics
SER 7.88 8.703 8.007 7.86
R2 0.1899 0.012 0.1644 0.1943
N 7986 7986 7986 7986

Standard errors are in parenthesis. **Significant at 1% level of significance. *Significant at 5% level of significance.

4)
LNAHEi= 1.856 + 0.4052bachelori - 0.1804femalei + 0.024agei
SE (0.0534) (0.0103) (0.0105) (0.0018)
T-value 34.79 39.19 -17.26 13.81
SER = 0.4571 R2 = 0.1924

PURPOSE: -
Determining the workers earnings is the purpose of this project. Here we focus mainly on average hourly earnings for individuals. There are some variable factors, which involved in average hourly earnings such as years of experience, years of education, gender and age.
SUMMARY OF CPS08 DATA: -
Each month the Bureau Of Labor Statistics in U.S Department conducts a survey, which provides data on labor force, level of employment, unemployment and earnings on the basis of a randomly taken sample from U.S household. According to this approx. 65,000 U.S households are surveyed each month. CPS08 contains data for full time workers, which are employed more than 35 hours a week for at least 48 weeks in previous year. The time horizon is from Jan 2004 to Dec 2004.
There are some key factors needed to describe such as gender and education: -
FRMALE use 1 if female; use 0 if male
AHE: Average Hourly Earnings
BACHELOR: 1 if worker has a bachelor’s degree;0 if worker has high school degree.

REGRESSION: -
As we are using regression for the project. Regression analysis is a statistical technique for estimating the relationships among variables for the purpose of predicting future values. Dependent variable is AHE and independent variables are Age, Education, Experience and Gender.
In regression analysis, data on dependent and independent variables is plotted on a scatter graph or diagram and trends are indicated through a line of best fit. When solving for dependent variable, one independent variable may change but other has to be remain the same.
Build a model to forecast the AHE of workers based on bachelor, female and age.
Equation of this model is: -
AHEI=1.8838+6.865BACHELORI-3.1578FEMALEI+. 4392AGEi
Forecast AHE for 30-year-old female worker with a bachelor degree: -
AHEI=1.8838+6.865(1)-3.1578(1)+. 4392(30)=$18.767
According to this model female
Show More

Related Documents: Essay on Student: Regression Analysis and Dependent Variable

Regression Analysis and Simple Linear Regression Essay

Cannot be reproduced or used without written permission from QuantUniversity LLC. Agenda  Regression Analysis : Estimating Statistical Relationships  In-class Exercise Regression Topics  Regression Terminology  Scatterplots  Correlation  Simple Linear Regression  Multiple Regression  Modeling relationships Where can you use regression?  Can you predict starting salaries for graduating students ?  Salary = function of { Previous years of education, Experience, GPA, Interview Performance…

Words 2277 - Pages 10

Regression Analysis Essay

Regression Analysis of Graduation % Dependent Variable: Graduation % The Graduation percentage is the dependent variable that the independent variable will influence. In this scenario the independent variables will be SAT math (SATM) scores, SAT vocabulary (SATV) scores, percentage of the faculty that have a PHD (%FacPhD), and percentage of high school graduates who graduated in the top 20% of their class (%Top20%), which will help to determine the most logical forecast of a colleges graduation…

Words 1860 - Pages 8

A Case Study on Cost Estimation and Profitability Analysis at Continental Airlines Essay

ISSUES IN ACCOUNTING EDUCATION Vol. 26, No. 1 2011 pp. 181–200 American Accounting Association DOI: 10.2308/iace.2011.26.1.181 A Case Study on Cost Estimation and Profitability Analysis at Continental Airlines Francisco J. Román ABSTRACT: This case exposes students to the application of regression analyses to be used as a tool pursuant to understanding cost behavior and forecasting future costs using publicly available data from Continental Airlines. Specifically, the case focuses on…

Words 11158 - Pages 45

Analysis On Forecasting

QUANTITATIVE ANALYSIS FOR MANAGEMENT Forecasting Barry Render / Ralph M. Stir, JR. Summarized by - NOPPOL BEOKHAIMOOK Learning Objectives (1) Students will be able to: – Understand and know when to use various families of forecasting models – Compare moving averages, exponential smoothing, and trend time-series models – Seasonally adjust data. – Understand Delphi and other qualitative decision-making approaches 1 Learning Objectives (2) Students will be able to: – Identify independent and dependent…

Words 5226 - Pages 21

QTB Assignment Essay

BUSINESS STUDENT NAME: ALBRIGHT MADELEINE KORBEL AMANKWAH. PROGREMME: BA1 SEMESTER: SEMESTER ONE TOPIC: FACTORS CONSUMERS CONSIDER IN CHOOSING A MOBILE PHONE SERVICE PROVIDER Contents Introduction……………………………………………………………………………………………2 Introduction to the sector……………………………..………………………………………. 3 Factors influencing choice……………………………………………………………………… 4 Literature supporting inclusion………………………………………………………………. 4 Sample characteristics……………………………………………………………………………. 6 The conceptual model for analysis…………………………………………………………

Words 2819 - Pages 12

Assignment 4 Essay

Assignment-4 (Chs. 10, 12 and 13 : these chapters are marked different in the 7th ed. Chs 12 and 13 of the 6th ed are marked as Chs 13 and 14 in the 7th ed) Due by Midnight of Sunday, June 29th, 2014 (Dropbox 4): Total 125 points True/False (two points each) Chapter10 1. In an experiment involving matched pairs, a sample of 15 pairs of observations is collected. The degree of freedom for the t statistic is 14. true 2. In testing the difference between two means from two independent populations,…

Words 2826 - Pages 12

Examples Of Descriptive Statistics

It is found from table 3.3 that the calculated P value of all the Educational loan repayments factors i.e. Perceived quality, Parental influence, Intention to repay, and Students attitude, is 0.172 which is greater than 0.05 which indicates perfectly fit. Here GFI (Goodness of Fit Index) value and AGFI (Adjusted Goodness of Fit Index) value is greater than 0.9 which represent it is a good fit. The calculated CFI (Comparative Fit Index) value is 0.986 which is greater than 0.90 means that it is a…

Words 1441 - Pages 6

The Research of Wechat Essay

DIVISION OF BUSINESS AND MANAGEMENT Business Research Method The Research Proposal The determinates to intention to use Wechat |钟成锋（10302 | |李慈慰 | |Terence | |王科斯 | |陈嘉悦 | |廖家豪 | Business Research Method – ECON 6 Content 1 Title and Executive Summary…………………………………………………………………… 3…

Words 8278 - Pages 34

Stats: Statistics and Average Test Scores Essay example

observed a number of variables that consistently and significantly correlated to average test scores within private schools across the United States. The purpose of this study is to identify the factors that significantly contribute to lower academic scores within the private elementary schools in my district. I am focusing the study to look at the following variables that I postulate have the highest impact on Grade 5 average test scores. Total student enrollment Student household income…

Words 592 - Pages 3

ANSWER TO MODULE 5 ASSIGNMENT Essay

Student Name Professor Name University Date Anxiety and Country Answer: This study examined differences in anxiety level between an industrial country and a nonindustrial country. Anxiety is assessed three ways—cognitive, affective, and behavioral—with higher scores indicating higher levels of the anxiety dimensions. Directions: Using the SPSS data file answer the following questions. NOTE: Helpful hints are provided here for you to use while answering these questions. 1 What is the…

Words 1976 - Pages 8