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# Regression Analysis

### Regression Analysis of Operating Expense and Staff Size

In this study we will consider the current issues of operational expenses in relation to the number of staff and number of branches being experienced by 123 Finance Inc. With current company staff being split between eight separate branches located across the United States, it has been suggested that a means of reducing daily op

### regression

See attached file for full problem description. Question 2) If you are given that the dependent variable (y) is Annual Sales, and x1 is the number of jobs held by each member of the sales staff within the past 5 year period, x2 is the years of experience of each staff member and x3 is the number of glasses of wine each staff

### Scatter diagram and regression equation

Draw a scatter diagram. Determine the regression equation. Earth Engineering is in the process of trying to locate office space to accommodate employee growth. Over the last five years, the office has grown from 25 to 54 employees. Within less than a two-year period, the office has had to move to two new buildings - one was

### Statistics

If I tell you that the coefficient for X1 is .35, and the coefficient for X2 is -1.6, what does that mean with respect to the y variable?

### Regression and correlation

1) When is regression used? What are the assumptions of Linear Regression? 2) What is correlation? How does it differ from regression? What is the interpretation of the correlation coefficient?

### Multiple choice question from time series analysis

1. Time series methods a. discover a pattern in historical data and project it into the future. b. include cause-effect relationships. c. are useful when historical information is not available. d. All of the alternatives are true. 2. Gradual shifting of a time series over a long period of time is called a. periodic

### Hypothesis Test on Correlation and Regression Analysis

Palmdale Permits Population 2003 946 127,585 2004 1366 131,295 2005 1536 134,570 2006 1190 141,012 Total Permits: 5,038 Ho: p=0: The amount of permits is dependent upon population. H1: p is not equal to 0: The amount of permits is not dependent upon population. In

### Regression analysis for age and blood alcohol concentration data

1. A study was conducted to investigate the relationship between age (in years) and BAC (blood alcohol concentration) measured when convicted DWI (driving while intoxicated) jail inmates were first arrested. Sample data are given below for randomly selected subjects. Age 17.2 43.5 30.7 53.1 37.2 21.0 27.6 46.3 BAC 0.19 0.20

### Tech's admission objective is a class of 5,000 entering freshmen and it wants to forecast the percentage of offers it will likely have to make in order to achieve this objective.

The admission data for freshmen at Tech during the past 10 years is as follows. Year Applicants Offers % Offers Acceptances % Acceptances 1 13,876 11,200 80.7 4,112 36.7 2 14,993

### Regression analysis for baseball data

The manager of the Ramona Inn Hotel near Cloverleaf Stadium believes that how well the local Blue Sox professional baseball team is playing has an impact on the occupancy rate at the hotel during the summer months. Following are the number of victories for the Blue Sox ( in a 162 game schedule) for the past eight years and the h

### Forecasting

Metro Food Vending operates vending machines in office buildings, the airport, bus stations, colleges, and other businesses and agencies around town and operates vending trucks for building and construction sites. The company believes its sandwich sales follow a seasonal pattern. It has accumulated the following data for sandwic

### Regression analysis, Time series analysis, Chi square

Exercise 1 Calculate a four-quarter weighted moving average for the number of America Online (AOL) subscribers for the nine quarters of data. The data are reported in thousands. Apply weights of .1, .2, .3 and .4, respectively, for the quarters. In a few words, describe the trend in the number of subscribers. 31-Mar-01

### Regression analysis for mutual fund data

Linear regression analysis; construct confidence intervals for regression parameters; correlation coefficient . We can use two products at my work, which are mutual funds and see if there is a correlation between the two. The two different funds are: a domestic stock mutual fund, which only invests in large organizations (lar

### Quantitative analysis questions a - l

The director of graduate studies at a large college of business would like to be able to predict the grade point index (GPI) of students in an MBA program based on Graduate Management Aptitude Test (GMAT) score. A sample of 20 students who had completed 2 years in the program is selected; the results are as follows: [see the

### Regression and Automated Testing Plan

Please prepare a Regression and Automated Testing Plan for a Course Project Think about including the following: A business letter to the Jonesville Library introducing the contents of the document A regression and automated testing plan that includes the following: - the phases targeted by the plan - how regress

### Describe the economic meaning and statistical significance of each individual independent variable included in the San Francisco demand equation.

Interpret the coefficient of determination (R2) for the San Francisco demand equation. What are expected unit sales and sales revenue in a typical market? Qi = b0 + b1Pi + b2Pxi + b3Adi + b4Ii + uit To illustrate use of the standard error of the estimate statistic, derive the 95 percent confidence interval for expe

### Economics and Management

The following questions refer to this regression equation. (Standard errors in parentheses.) QD = 15,000 - 10 P + 1500 A + 4 PX + 2 I, (5,234) (2.29) (525) (1.75) (1.5) R2 = 0.65 N = 120 F = 35.25 Standard error of Y estimate = 565 Q = Quantity demanded P = Price = 7,000 A = Advertising expense, in thousands = 54 PX =

### TOM (Operations Management)

The Manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. Experimenting with prices produced the following data: Avg # Sold per Day (y) Price (x) Avg # Sold per Day (y) Price (x) 200 \$6.00 155

### Regression Equation for Males Eating Junk Food

1. Figure out the regression equation for males based on what they spend on junk food and their weight. The weight is the independent variable. Do we have a correlation? 2. Figure out the regression equation for females based on what they spend on junk food and their weight. Do we have a correlation? Note: For the first part

### Simple Linear Regression Model for copying Acu machine data.

Practice Problems a) Explain what is meant by " is an unbiased estimator of the parameter ". b) Why is it desirable for a sample statistic to be unbiased? c) and are unbiased estimators of ______ and ______ respectively. 6. Acu-Copiers sells and services the Acu-500 copying machine. As part of its sta

### Linear regression on leg length and lunge length data

1. I need to analyze the data in Worksheet 5-5 (attached). This data is real data that was collected by a doctor who specialized in leg and knee injuries. He gathered data from 43 people, indicated by their initials. Each person was required to perform three anterior (frontward) lunges with the right leg followed by three with t

### Regression Analysis Problem unemployment rate and residential mortgage rate

Use linear regression to determine if there is a statistical correlation between the unemployment rate and the residential mortgage bank-charge off rate. Answer the following questions. Table 1. Quarterly Unemployment Rate1996 - 2006 Year Q1 Q2 Q3 Q4 1996 5.53 5.5 5.27 5.33 1997 5.23 5 4.86 4.67 1998 4.63 4

### Regression Analysis

Identify a business research issue, problem, or opportunity facing a Learning Team member's organization that can be examined using regression analysis. Then, use the Internet or other resources to collect data pertaining to your selection. Prepare a paper examining a regression analysis on your collected data. Begin by describi

### Determine a forecast for Ed to use for month 7 and explain the logic used to develop your forecast.

Ed Norris has developed a Web site for his used textbook business at State University. To sell advertising he needs to forecast the number of site visits he expects in the future. For the last 6 months he has had the following number of site visits: Month 1 2 3 4 5

### Adult Intensive Care Unit and Hypothesis Testing

The following information is referenced in questions 9 through 11: A random sample of 200 patients admitted to an adult intensive care unit (ICU) was collected to examine factors associated with death during hospital stay for ICU patients. Data was also collected on patient's age (in years), whether the patient had an infectio

### Multiple choice questions: questions on a prospective study on the risk factors, joint effects of cardiovascular disease

The following information is referenced in questions 15 through 19. The Framingham Heart Study was a landmark study in epidemiology in that it was the first prospective study of cardiovascular disease and identified the concept of risk factors and their joint effects. The study began in 1948 and 4,434 randomly selected resid

### Which of the following statements best describes the unadjusted mean difference (and 95% CI) in hourly wages? What is the best explanation for the fact that the regression coefficient doesn't change much with more covariates? What would happen to the R2 value if age was entered in months (not years) and gender was coded 1=male and 0=females?

Suppose you are doing research on the differences in wages earned by men and women in the U.S. workforce. You gain access to a data set that contains information on a random sample of 534 U.S. workers surveyed in 1985. The data set contains information about the hourly wage (in U.S. dollars) and the sex of each of the workers su

### Multiple Choice Questions on Logistic Regression

A case-control study is performed to study the relationship between esophageal cancer and an exposure (exposure A). Esophageal cancer is a very rare disease (prevalence <<< 1%) in the general population. The cases were 100 persons with the cancer of whom 30 had exposure A. The cases were a random sample of individuals with cance

### Hourly Wage Linear Regression

Data from a study of 534 U.S. workers from 1985 includes information about each worker's hourly wage (measured in U.S. dollars/hour) and age (measured in years). First, linear regression is performed to estimate the relationship between hourly wage and age (years), and the resulting slope of age is 0.08, and correlation coeffici

### Regression - 3 period moving average, and forecasting

1. The chart below gives sales data (in dollars) for McTeale, small auto-parts supplier. JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2000 414 482 396 530 551 396 365 415 424 485 684 802 2001 457 432 465 598 632 424 392 476 489 555 768 883 2002 505 477 534 636 696 466 442 506 531 610 825 973 i. Plot the sales