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    Regression Analysis

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    Regression analysis for advertising expense.

    Ann's furniture store is a family business that has been selling to retail customers in the Chicago area for many years. They advertise extensively on radio, TV, and the Internet, emphasizing the low prices and easy credit terms. The owner would like to review the relationship between sales and the amount spend on advertising.

    Regression analysis problems .

    A town assessor was trying to determine a relationship between the size of a parcel of land (x) and the selling price (y) the assessor used the data in the following table. Size in acres (x) Selling price in thousands of dollars (y) 0.5 25 1.0 40 1.5 55 2.0 65 2.5 75 3.0 80 a. Draw a scatter diagram. Does the sellin

    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 model for real estate data set

    Using the attached numerical data I want to (1) formulate a hypothesis which can be tested with linear regression analysis. (2) Formulate a hypothesis statement regarding the issue. (3) Perform a regression hypothesis test on the data. (4) Interpret the results of your regression hypothesis test. (5) And have to include raw dat

    AIU job satisfaction data base regression analysis

    Using Excel as your processing tool, work through three simple regression analyses. First run a regression analysis using the BENEFITS column of all data points in the data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the data set as the dependent variable. Create a graph wi

    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.

    Calculation of a Simple Regression Model

    Briefly state what question you are trying to answer when you use simple regression. Please use your own words and not text book...I really need to understand this in the simplest terms possible. Like kinder garden...

    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 Paper- state decision rule and use sample

    I have been assigned a Regression Paper. The project is to Project selling price (in thousands) if mean square feet of homes is 3,000 sqft. See attached spreadsheet. I must use the below null and alternative hypothesis? H0: Projected selling price (in thousands) if mean square feet of homes is 3,000 sqft by regression is va

    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 Regression and Model Building

    Questions you need to answer: 1. What factors appear to influence beverage sales at the Westar? 2. Should Westar consider re-hiring the piano player for the Pour Nous Lounge? 3. How about happy hour food? 4. Can you suggest a new forecasting method for Jane to try out? 5. Explain what is Multicollinearity CASE: Th

    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 Analysis and Operational Managment

    This is a problem #13, chapter 9 - Regression Analysis, from the textbook by Cliff Ragsdale, "Spreadsheet Modeling and Decision Analysis". This problem requires the use of Excel and the add-in, called Solver. The course is Excel-based and Solver is the optimization application used for all problems. This problem has (a),(b),(c)

    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 Analysis

    13.30 A researcher used stepwise regression to create regression models to predict BirthRate (births per 1,000) using five predictors: LifeExp (life expectancy in years), InfMort (infant mortality rate), Density (population density per square kilometer), GDPCap (Gross Domestic Product per capita), and Literate (literacy perce

    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

    SPSS and Regression Equations

    Suppose a random sample of twelve families had the following annual income and savings. Using SPSS, answer the following questions. Family Income, I (in Thousands) Savings, S (in Thousands) 1 22 2 2 18 2 3 17 1.6 4 27 3.2 5 30 3.0 6 21 2.0 7 23 1.9 8 28 3.1 9 15