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Correlation and Regression Analysis

Discussion on Causation, Correlation and Regression

I need some help in conceptualizing basic statistic concepts: (1)Briefly defines correlation and regression. (2) Compares (similarities) and contrasts (differences) regression and correlation. This is far different than the definitions required in (1) above. While definitions are important, they do not describe the similariti

Confidence Interval III

A chain of launderettes is investigating the lifetime of the washing machines that they use, measured in the number of washes completed before they need repairing. There are a number of machines used throughout their branches that have been installed at different times with each one having the number of completed washes recorded

Random Sample of Probationer's

This is the exact same question as I previously submitted; I believe I did not submit correct data for the question. (Random Sample of probationers data) I also attached previous work in case you need data. Thank you 5. You hypothesize that in a random sample of probationers, there is a relationship between a probationer's G

Correlation, Regression, and Comparing Means

Using the data set: Chamorro-Premuzic.sav; you will focus on the variables related to Extroversion and Agreeableness (student and lecturer) 1. Exploratory Data Analysis. a. Perform Exploratory Data Analysis on all variables in the data set. Because you are going to focus on Extroversion and Agreeableness, be sure to includ

Regression and Correlation

Examine relationship between GNP per capita and the percentage of respondents willing to pay more taxes. a. Create a table using the data below for the GNP per capita and the percentage willing to pay higher taxes. b. From the table that you created in (a), calculate a and b and write out the regression equation (i.e., predi

Methods of decretive statistics to summarize data

CASE 2- ALUMNI GIVING Alumni donations are an important source of revenue for colleges and universities. If administrators could determine the factors that could lead to increases in the percentage of alumni who make a donation, they might be able to implement policies that could lead to increased revenues. Research shows ha

Higher R-Square Value Prediction Intervals

QUESTION 1 1. A recent study by a major financial investment company was interested in determining whether the annual percentage change in stock price for companies is linearly related to the annual percent change in profits for the company. The following data was determined for 7 randomly selected companies: %change stock

Statistical Concepts of ANOVA, Samples, Chi-square, and Regression Equation

I need help answering these questions: e. Why is the F-distribution important? How do you determine if a significant difference exists among the groups in ANOVA? How do you determine differences between the groups in ANOVA? Provide an ANOVA example using either a personal or professional experience. f. What is an independen

Policy Memo on City of Kelsey

Need a policy memo that includes the following: (documents attached) - Use a correlation analysis to explain and a regression analysis to forecast the three major sources of Kelsey's tax revenue for the upcoming year. - Use the city's historical data on population as the independent variable and its major tax revenue receipts

Monte Carlo Simulation and Sensitivity Analysis

A decision maker is working on a problem that requires her to study the uncertainty surrounding the payoff of an investment. There are three possible levels of payoff -$1,000, $5,000, and $10,000. As a rough approximation, the decision maker believes that each possible payoff is equally likely. But she is not fully comfortable w

Relationship between seniority and days absent per year

15. A study is being made of the relationship between seniority, i.e., years of service with the company, and the number of workdays absent per year. The following table shows the relevant data for seven randomly selected employees. Years Employed (X) Days Absent Last Year (Y) 7 2 8

Regression Equations for Independent Variables

3. A regression equation uses three independent variables to predict Y. The coefficient of determination for regressing X_1 on variables X_2 and X_3 is .95. The coefficient of determination for regressing X_2 on variables X_1 and X_3 is .85. a. What is the VIF for X_1? b. What is the VIF for X_2? c. Would you say multicollin

Variables of interest to healthcare managers

Identify 5 variables of interest to healthcare managers. Select and define one variable and include your rationale for selecting this variable. What is the difference between a dependent and independent variable? Identify the population of interest. Describe the procedure for selecting the sample of the population.

Managing the Springville Herald

See the attached file. Managing the Springville Herald To ensure that as may trial subscriptions as possible are converted to regular subscriptions, the Herald marketing department works closely with the distribution department to accomplish a smooth initial delivery process for the trial subscription customers. To assist in

Modelling and Drawing Equations from Data

The data in DJIA.xls (ExcelDataFiles) represents the closing value of the Dow Jones Industrial Average (DJIA) over the 29-year period from 1979 to 2007. Year | Coded Year | DJIA 1979 | 0 | 838.7 1980 | 1 | 964.0 1981 | 2 | 875.0 1982 | 3 | 1046.5 1983 | 4 | 1258.6 1984 | 5 | 1211.6 1985 | 6 | 1546.7 1986 | 7 | 1896.0

Profit Maximising Linear Programming Tutorial

Consider a problem where we two products: Product A (cloth bags) and product B (leather bags). Each unit of Product A that is sold produces $30 in profit and each unit of Product B that is sold produces $50 in profit. There are three resources involved (cloth, leather, and labor), and different quantities are required for each

Predicting the Number of Orders Based on the Weight of the Mail

The Data of Mail.XLS Weight Orders 216 6.1 283 9.1 237 7.2 203 7.5 259 6.9 374 11.5 342 10.3 301 9.5 365 9.2 384 10.6 404 12.5 426 12.9 482 14.5 432 13.6 409 12.8 553 16.5 572 17.1 506 15 528 16.2 501 15.8 628 19 677 19.4 602 19.1 630 18 652 20.2 The operations manager of a large mail-order house bel

Auto Industry Research Project Examples

I have to construct a paper with this criteria: as preparation for the final research paper, formulate a theory about the correlation between measurable independent variables (causes) and one measurable dependent variable (the effect). Be sure to have at least two independent variables for proposed research paper. How do I be

Statistics: Predicted Value of Cricket Chirps

Find the best predicted temperature (in degree F) at a time when a cricket chirps 3000 times in one minute. What is wrong with this predicted value? Chirps in 1 minute: 882, 1188, 1104, 864, 1200, 1032, 960, 900 Temperature (degree F) 69.7, 93.3, 84.3, 76.3, 88.6, 82.6, 71.6, 79.6

Stats/Linear Programming Question.

The south fork Feed Company makes a feed mix from four ingredients--oaks, corn, soybean, and vitamin supplement. The company has 300 pounds of oats, 400 pounds of corn, 200 pounds of soybeans, and 100 pounds of vitamin supplements available for the mix. The company has the following requirments for the mix: -At least 30% of t

average number of customers waiting

Customers enter the waiting line at a cafeteria on a first-come, first-served basis. The arrival rate follows a Poisson distribution, while service times follow an exponential distribution. If the average number of arrivals is four per minute and the average service rate of a single server is seven per minute, what is the averag

Sandford Tile Case Study: Linear Optimization Problem

Sandford Tile company makes ceramic and porcelain tile for residentail and commercial use. They produce three different grades of tile for walls, residential flooring, and commercial flooring each of which requires different amounts of materials and production time and generates different contribution to profit. The spreadsheet

5 Probs Multi Choice- Stats- Need Help to Validate My Answers

Open the Cons Trans 59 - 00.xls file. Use the BEA consumption and transfers data to investigate whether heteroscedasticity or autocorrelation is present in the model using the graphical approach (consumption as the dependent variable). Which answer best represents the degree of autocorrelation in the model? Using EXCEL or PHStat

Analyzing Revenue: Scatter Diagram, Variation in Revenue

** Please see the attachment for the complete problem description ** A suburban hotel derives its gross income from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days

Manufacturer level of significance, least squares regression line

Please choose the correct answer and write briefly why: A manufacturer of a chemical used in glue, attempting to control the amount of a hazardous chemical its workers are exposed to, has given instructions to halt production if the mean amount in the air exceeds 3.0ppm. It is believed that the standard deviation is 0.5. ppm

Threats to Internal and external study design

I don't understand what internal and external threats are and could you provide some examples of what would be considered a threat to internal and/or external validity of a study design.

Determining Independent and Dependent Variables

Research wireless cell phone using systematic sampling for its simplicity: Any individuals of any age who is a customer with a data plan under various cellular phone carriers will be randomly selected from the lists acquired from these cell phone carriers. The population to be analyzed is 2,000 cell phone users, and a sample of

QuantMethods Productions Operations Management Software

Please reference the attachment and respond to questions 1, 2, 3, 4 & 5 on page 137, questions 1, 2, & 3 on page 269, and question 10 on page 271. For your convenience, the assigned questions are circled. Questions involve cost of quality, shape and position, minimum total cost, scatter diagram, electronic components, and con

Plant Equipment Corporation: Linear Programming solution

Plant Equipment Corporation (PEC) manufactures two large industrial machines--a metal compactor and a drill press. Next month PEC will convert its production facilities to produce new machine designs and will cease producing the current models. PEC must determine its production schedule for this month, however, PEC could sel