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Regression Analysis

Regression Analysis

1. You are a college admissions officer, and you have the following data: HS GPA College GPA 2.00 2.50 2.50 1.80 2.70 1.50 3.00 2.00 3.10 2.50 3.20 2.50 3.50 3.00 3.70 2.80 3.75 3.00 3.80 3.90 3.85 4.00 4.00 3.75 These, of course, are High School GPAs and College GPAs (at the end of First Year

Regression analysis in SAS

Problem A high-tech company wants to study the relationship between salary (Y) and some factors such as degree obtained (1=bachelor's degree, 2=master's degree. 3=doctoral degree), year of experience, and the number of persons currently supervised. The data is given as follows. The first column denotes the salary (in thousand

Regression Analysis - Study Time and Exam Score

Using Excel, prepare a linear regression equation for the following data and use it for prediction. A random sample of study times for 12 students tracks hours of study for their advanced tax exam and the percentage grades they subsequently earned on their tax exam. Assume that study times have been compiled over a weekend.

Correlation and regression analysis

1. DEFINE: Correlation 2. Students were asked the following: Imagine that you lost (X dollars) amount of money. How much (Y dollars) would you pay to get it back? Imagine that these are the answers. Calculate the correlation coefficient for the following X - Y pairs. X___ __Y _ 10.00

Regression analysis

Your employer asks you to determine whether current salaries (DV) can be predicted from years of experience (IV) What is the right statistical test one should use and why?

Calculating coefficients

Calculate the following coefficient to see if height and shoe size are correlated: Subject 1: 70 inches, size 90.0 Subject 2: 62 inches, size 6.5 Subject 3: 66 inches, size 8.0 Subject 4: 69 inches, size 7.5 Subject 5: 72 inches, size 8.5

Scatterplots and coefficients and regression analysis

I need help with the attached. It deals with scatter plots. Thank you for you help. ------------------------------------------------------------------------------------------ 1. A value of r = -0.851 shows that there is very little relationship between the two variables being compared. 2. A value of r = 0.158 shows that

Multiple regression model in SPSS.

Problem 1: In an earlier assignment, you estimated a simple t-test to ascertain if IMF lending programs in Latin America served to attract or deter foreign direct investment. Of course, the principal problem with this result is that we really can't say much definitively because we don't control for alternative explanations.

Regression analysis for Managerial Economics Assignment.

Managerial Economics Assignment Below are data on quantity produced at a group of shirt manufacturing plants. Each plant also reports its total cost. This exercise tests your knowledge of empirically verifying economic theory of short-run production cost. a. What is the theoretical regression equation of the short-run to

Correlation analysis in SPSS

Answer all three of the questions below. You must show all of your work .Please do this assignment as a Word document with SPSS output pasted where appropriate. Problem 1: Operationalizing variables can be a challenge. One measure of a country's human rights record is a measure known as the Political Terror Scale. This var

Multiple linear regression in SAS

Data: This data consists of a random sample of 113 hospitals selected from the original 338 hospitals surveyed. Each line of the data set has an identification number and provides information on 11 other variables for a single hospital. The data presented here are for the 1975-76 study period. The 12 variables are: Va

Regression analysis and Confidence interval

Question 1 A random sample of 85 students in Chicago's city high schools take a course designed to improve SAT scores. Based on this sample, a 90% confidence interval for the mean improvement μ in SAT score for all Chicago city high school students taking this course is found to be (72.3, 91.4). Which of the following st

Regression, Linear Correlation and Scatterplots

. 1. Describe in your own words what is meant by "line of best fit." 2. Answer the following: a. What is the relationship between the sign of the correlation coefficient and the sign of the slope of the regression line? b. As the value of the correlation coefficient increases from 0 to 1, or decreases from 0 to -1, how d

Chi square test and regression analysis

1. A researcher selects a random sample of college students and measures the number of hours they spend watching television per week and their grade point average. The results are as follows: X Y Subject # TV hours GPA 1 50 1.90 2 20 2.20 3 19 2.40 4 10 3.30 5 9 2.90 6 14 2.50 7 7

Regression: Degrees of Freedom and Confidence Limits

In the following regression, X = total assets ($ billions), Y = total revenue ($ billions), and n = 64 large banks. (a) Write the fitted regression equation. (b) State the degrees of freedom for a two-tailed test for zero slope, and use Appendix D to find the critical value at α= .05. (c) What is your conclusion about the

Independent variable

What is the difference between an independent and a dependent variable? Does a regression model imply causation? Why or why not? Provide an example which provides and independent and dependent variable from your place of work.

Factors that Affect Selling Price for Ford Mustangs

We want to determine the factors that affect selling prices of Ford Mustangs. The statistical analysis of the data involves hypothesis testing and multiple-regression analysis. The data is attached. Analyses that you'll want to do are: 1. Test the hypothesis that mean price does not depend on whether the car is a convertibl

Regression Model to Predict Accounts Receivable

You are the CFO for Mark's Company. Intuitively you know that there is a relationship between sales and collections in your company. You want to design a model that will allow the company to predict collections. Historical credit sales data is shown for the current month, March, and the previous months. As the CFO you wil

Regression model for heating cost in SPSS

Salsberry Realty sells homes along the east coast of the U.S. One of the questions most frequently asked by prospective buyers is: If we purchase this home, how much can we expect to pay to heat it during the winter? The research department at Salsbury has been asked to develop some guidelines regarding heating costs for singl

Multiple Regression model for employee data in SPSS

Using the SPSS data file "employee data" answer the following questions. First run a regression analysis identifying "salary" as the dependent variable and "educ", "jobcat", "salbegin", "jobtime", "prevexp", and "minority" and the independent variables. a) What is the regression equation? b) What variables contr

Regression Analysis in SPSS

It has been suggested that treatment of a plastic used in optic lenses will improve wear. Four different treatments are to be tested. To determine whether any differences in mean wear exist among treatments, 28 castings were made from a single formulation of the plastic and seven castings were randomly assigned to each of the

Statistics: Yearly Movie Attendance and Dow Jones Industrial

Problem 1 The following data represents the yearly movie attendance (in billions) in the United States from 1999 to 2008: Year Attendance 1999 1.47 2000 1.42 2001 1.49 2002 1.63 2003 1.57 2004 1.53 2005 1.41 2006 1.45 2007 1.47 2008 1.55 a. Plot the time series. b. Fit a three-year moving average to the dat

Regression model for crime rate data of Philadelphia Police Department.

You have been hired as a data analyst for the Philadelphia Police Department. The Department needs your help in determining whether they should change their current allocation of police officers on patrol for two precincts. They provide you with the data for the past 20 weeks. For each week there is a count of the number of p

General Statistics: Qualitative and Quantitative Variables

1. In 2002 The Cinergy Corporation sold 35,615 million cubic feet of gas to residential customers and a increase of 1.1% over the previous year. Does this information represent descriptive statistics or inferential statistics? Why? 2. What is the difference between a qualitative variable and a quantitative variable? When woul

Time Series Line Chart for airline data.

For this exercise, use Excel, MegaStat, or MINITAB to make an attractive, well-labeled time-series line chart. Adjust the Y-axis scale if necessary to show more detail (since Excel usually starts the scale at zero). If a fitted trend is called for, use Excel's option to display the equation and R2 statistic (or MAPE, MAD, and MS

Linear regression analysis hypothesis formulation

Formulate a hypothesis statement regarding your research issue. Perform a regression hypothesis test on the data. Assume the number of games won is the dependent variable and attendance the independent variable. Can we conclude that the correlation between these two variables is greater than 0? Use the .05 significance level

Correlation and Regression Computation

A consumer buying cooperative tested the effective heating area of 20 different electric space heaters with different wattages. Here are the results. Heater Wattage Area 1 1,500 205 2 750 70 3 1,500 199 4 1,250 151 5

Multivariate regression analysis with SPSS

The data set question2.dat contains two test scores (Math and Reading) for each of n = 50 students. In addition to the test scores, the researchers asked the students how much time they spent watching TV, reading books not related to school, playing sports, and using a computer for entertainment purposes. The researchers were i