We expect that students who do well on the midterm exam in a course will usually also do well on the final exam. Gary Smith of Pomona College looked at the exam scores of all 346 students who took his statistics class over a 10-year period. *The least-squares line for predicting final exam score from midterm exam score was y
Forecasting & Regression (12 Problems) : Hypothesis Testing and 2- and 3-Parameter Exponential Smoothing
On multiple choice, check any appropriate answers. For any hypothesis tests, use a .05 level of significance. Barrel temp. (in oF) Mold temp. (in oF) Injection pres. (in psi) Strength (psi) 320 100 7000 3877 320 100 5000 3901 320 100 3000 4010 320 125 7000 3706 320 125 5000 3708 320 125 3000 4140 320 150 7000
A. What is linear regression? b. What can linear regression do for you - both in a general business sense and specifically to your place of employment, or circle of influence? c. What are some of the limitations of regression analysis? a. What is correlation analysis and why is it important to us when we are using regres
The director of an investing group believes that the sales generated by a broker is related to the number of new clients a broker brings to the firm. The director believes that a linear regression model would help in the forecasting of expected sales from the brokers. To build the model the director takes a random sample of 12
Laura wanted to build a multiple regression model based on advertising expenditures and coffee times price index. Based on the selection of all normal values she obtained the following: 1) Multiple R = 0.738 2) R-square = 0.546 By using lagged values she came up with the following: 3) Multiple R = 0.755 4) R-square
Find a bivariate data set relating to your work with a sample size of 10 or more. a) Determine which is the dependent variable Y and which is the independent variable X. Explain your reasoning. b) Draw a scatterplot and indicate the relationship if any. Explain. c) Compute the least-squares regression equation. Show majo
EXHIBIT 1: A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0=female, 1=male) and job type (0=clerical, 1=technical). The following tables summarizes the regression results: df
Find the formulas used by the calculator in determining the constants a and b in the exponential regression model.
2 Sets of Problems - Regression : Correlation Coefficient, Scatterplot, Least-Squares and Data Analysis
(See attached file for full problem description) --- 47. In general, people tend to live longer in countries that have a greater supply of food. Listed below is the 1997 daily calorie supply and 2000 life expectancy at birth for 10 randomly selected countries. Country Calories (x) Life expectancy (y) Afghanistan 15
Q1. A firm has the following data on Sales and Advertising. I want to estimate the following regression: sales=B0 + B1*advertising; specifically, what is the estimate of the slope term, B1. The following 10 observations are included: Advertising Sales 339 1103 451 921 504 1154
Thompson Machine Works purchased several new, highly sophisticated machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as a machine operator important? In order to explore further the factors needed to estimate performance on the
Assume that you are an analyst for the City of Normalton in 1999. You have been asked by the Mayor to evaluate the effectiveness of two juvenile crime policies: The strict curfew put in place on Jan1, 1994 and The parental responsibility law put in place on March 1, 1994. The police department has provided you with the da
Using the BANK.SAV data file, construct a multiple regression model to test whether there is gender discrimination in the bank. The model should include one or more continuous variables and one or more dichotomous variables. Please submit to me the output you generate Describe your rationale for including the variables tha
1) What is the Chi-square test? Where can you apply it? Please site an example of how it was used and the outcome of the test. I think this could help me better than the book, it is difficult to understand. 2) What is regression analysis and multiple regression? How would they be used in an outpatient setting? Please indentif
1. Suppose an appliance manufacturer is doing a regression analysis, using quarterly time-series data, of the factors affecting its sales of appliances. A regression equation was estimated between appliance sales (in dollars) as the dependent variable and disposable personal income and new housing starts as the independent varia
Regression Analysis: Estimation of a regression model and Hypothesis Testing of regression coefficients.
A. Determine the regression equation. b. What is the value of R-squared? Comment on the value. c. Conduct a global hypothesis test to determine whether any of the independent variables are different from zero. d. Conduct individual hypothesis tests to determine whether any of the independent variables can be dropped. e. If
Baseballs major leagues honor their outstanding first-year-players with the title "Rookie of the Year." From 1949 to 1994, the overall batting average for Rookies of the Year was .285 far above the major league batting average of .260. However, Rookies of the Year don't do so well in their second year- their overall bating avera
Bob wanted to build a multiple regression model based on advertising expenditures and price index. based on the selection of all normal values, he obtained the following: 1) Multiple R - 0.738 2) R-Square - 0.546 By using lagged values, he came up with the following: 3) Multiple R - 0.755 4) R-Square - 0.570 Explai
A linear regression analysis produced the equation: Profits = - $950 + $85 * no. of development hours a) How large would the profits or losses be if no time is spent in development? b) On average, an extra 20 hours spent in development produces what increase in profits? c) What is the break-even point - the number of hours f
Share the practical applications of the study from the Unit 2 Individual Project. How would the results of this survey be used in the workplace? Briefly describe correlational research. Name a variable from this study and one from the workplace that might prove to provide a correlational relationship and explain why you woul
There are 4 different problems on Scatter Diagram , Coefficeint of Determination , Coefficient of Correlation , Regression Equation , Regrssion Coefficients
Download the data file ex1.XLS. It contains a variety of aircraft operating cost data and statistics by aircraft type. All figures are averages for all aircraft operated by US carriers, taken from 2003 Form 41 data. Use the data in this file to perform the analysis of operating costs described below: (A) Use Excel to esti
I need to use my attached database to develop a multiple regression model with the dependent variable being the overall job satisfaction. Use gender, age, department, position and tenure with company as the independent variables. I need to provide output of the regression procedure but also the model equation. Also, I
The director of a national research institute belives that more comprehensive institutions have lighter teaching responsibility is and more time for research and scholarship. He develops a measure of institutional comprehensiveness and scholarly productivity for psychology departments. He selects 18 colleges and univ. and these
I need someone to critically assess the relative merits/weaknesses of a economic modeling equation and the subsequent integrity tests performed on the 40 year time series data. Attached is a word document with screenshots of various EViews results/tests/diagrams, etc and an excel file with the associated data. Also attached is t
Linear regression analysis and correlation: Using this information, construct 95% confidence intervals for the regression parameters b0 and b1 . At .05 level of significance, test the null hypothesis that the population correlation coefficient is 0.
1. A computer company wants to study the relationship between the number of microcomputers in use in different areas and the number of software packages the company sells in the areas. A simple linear regression analysis of 21 geographical regions reveals the following: b0=12.43, b1= 1.076, s(b0)=13.65, s(b1)=0.083 , SSE (sum of
What does it mean when you have a negative y-intercept in your regression equation? How do you interpert the negative number?
Question: What do the slope and y-intercept represent in the regression equation?
Please help me with these questions: 1. What is the real world value of the y-intercept and slope in a regression equation? 2. Other than statistics problems, why should I care? 3. I know how to calculate, but what does it really mean when you apply it in a business setting? 4. When you use them in forecasting, how
Using the database (attached file), complete the followings: a) Develop a Multiple Regression model with the dependent variable being the Overall Job Satisfaction. Use gender, age, department, position and tenure with company as the independent variables. Comment on your analysis (Rsq, Rsq adj, etc). You are to provide not on