Suppose that you are interested in examining the determinants of the use of plea bargaining by state prosecutors. During a one-month period, you record for each state in the US (1) the number plea bargains per 1,000 cases (y), (2) the average number of cases per prosecutor (x1), and (3) the average number of empty beds in the st
1. Your company purchases automobiles at auction. Knowing how much to bid for a specific automobile is a skill which appears to be acquired with experience. Less experienced buyers make lots of mistakes. You want to transfer the skill of your most experienced buyers to your least experienced buyers quickly and simply. You
1. In order to asses the profitability of additional hours spent on various projects, a manager decided to regress profitability of the project (Profits) vs. the number of hours spent on developing a project (Time). Profits are expressed in thousands of dollars. The results of the regressions are given below: Regression: Prof
In a multiple regression equation k = 5 and n = 20, the MSE value is 5.10, and SS total = 519.68. At the 0.05 significance level, can we conclude that any of the regression coefficients are not equal to 0?
When you run a regression in statistical software, and it gives you the results, please explain to me what the following fields mean: Prob > F [In particular, how small/large does this have to be to be statistically significant?] Root MSE P>|t| [Should the number be smaller than .05 to be significant at 5%?]
The goal is to test the functional dependence (prediction) of FVC on elderly subjects based on their height. To test the regression assumption that there is a linear relationship between height and FVC and that the residuals in FVC are normally distributed and have equal variance along the linear relationship with height, we
Calculate the correlation between age and tenure with the company. Explain your results. Use the following data set: https://mycampus.aiu-online.com/courses/QMB350/Assignment_Assets/DataSet.xls The data set key is here: https://mycampus.aiu-online.com/courses/QMB350/Assignment_Assets/DataSet_Key.xls Please use excel t
Q: Answer the following questions related to linear regression. Estimate the model that predicts wins from (grand mean centered) runs scored and (grand mean centered) runs allowed. {Note: Grand mean centering was used to aid in the interpretation of the intercept.} (a) What is the predicted model? (b) Do the coefficients
1. The following information should be used in conjunction with questions 1 to 6. Dave's Diners, a chain of cafes, is planning to open another one. Dave (the owner) believes that the size of the student population at nearby university campuses is related to sales revenue in the cafes. Dave and his management team collect data f
6.1 The goal of this study is to determine the strength and direction of the age, height, and weight variables in correlation with the FVC measure in the population. There were 31 variables measured on 800 elderly subjects. Variables include selected demographics (age, gender, race); selected anthropometrics (height, wais
Read the short article below concerning lumber prices (attachment). How would like I compute the multiple regression formula using the interest rates, lumber prices, and number of housing starts provided below. Once you have computed your multiple regression formula answer the following questions. What is the regressio
Your company builds roads, bridges, schools and other multi-million dollar public construction projects. Competitive bids are made for the contracts to undertake these projects. For each project there are three costs: a) the best estimate of what the project will cost your company to complete, made before a bid is submitted; b
Gallop Marketing has been gathering data on people's television viewing habits in smaller metropolitan areas. Radhika Nanda, an analyst at Gallop, is trying to predict the number of households that tune in to a given television station at any time during a given calendar week. She has gathered data for 25 different stations/bro
Post-hoc fallacy is that condition where regression shows a high degree of correlation (R square is high), but there is no real cause-effect relationship between the independent and dependent variables. For example, when the rooster crows each morning, the sun pops up every time (even if we can't see it). R square would be 1.00
How would I compute a simple regression formula using the interest rates and number of housing starts provided below. Also, once I have computed the regression formula, how would answer the following questions??? What is the regression formula that you computed? What would the approximate number of housing star
Regression analysis problems using SAS output. See attached file for full problem description. Three observations on a variable Y were obtained at each of 7 different X values. These 21 Y values are assumed to be mutually independent. A simple regression was run where Y was regressed on X. See graphs I and II, page A (atta
I have never used SAS before, but I need to answer some multiple regression problems using SAS output. Please see the attached files. Please label the variable used in answering the question so I can understand what is done. For a sample of people, three measurements are taken on each person (skin, thigh, arm) in an at
Simply need to know how to go about formulating the equation for the attached problem in an Excel format in order to answer this problem and problems like this one.
What is the purpose of constructing the normal score plot (a normal QQ plot)? What are normal score values?
A large school district is reevaluating its teachers' salaries. They have decided to use regression analysis to predict mean teacher salaries at each elementary school. The researcher uses years of experience to predict salary. The raw data is given in th table below. The resulting equation was: Salary
Wageweb conducts surveys of salary data and presents summaries on its website. Based on salary data as of October 1, 2002, Wageweb reported the average annual salary for sales vice presidents was $142,111, with an average annual bonus of $15,432. Assume the following data are a sample of the annual salary and bonus for 10 vice
Problem #5 Outside Magazine Outside Magazine tested 10 different models of day hikers and backpacking boots. The following data show the upper support and price for each model tested. Upper support was measured using a rating from 1 to 5, with a rating of 1 denoting average upper support and rating of 5 denoting excellent upper
The attached problem has three parameters and gives sum-of-squared deviation data. I can't find anything like this in a textbook. I need some help in determining how to solve it. See attached file for full problem description.
Question 1 The range of the correlation coefficient is? a. -1 to 0. b. 0 to 1. c. -1 to 1. d. None of the above. Question 2 Which of the following values could not represent a correlation coefficient? a. r = 0.99 b. r = 1.09 c. r = -0.73 d. r = -1.0 Question 3 Answer questions 3 - 9 from the following problem
Please don't forget to define the X and Y variables; use regression formulation to get stats; compile scatter plot graph including the equation and r(square) option;project sales for next year (quarterly); separate regression for Putnam and Sanford changing the variables that needs to be changed. Hayes Pump, LLC is a multi-li
See attached file for full problem description. Study & Data Collection: The administer for a small rural hospital is interested in better understanding what drives inpatient charges - is it length of stay (LOS), severity of the illness, patient demographics (such as age or gender), or could it possibly be due to one or t
Describe ways in which the use of MS Excel as a tool for interpreting data can be used by a manager of an organization. What potential legal and ethical issues could arise if the information gained in this survey was used to create an ideal profile of characteristics that the company looked for when hiring employees?
Baseball Mark Havana has just bought a major league baseball team. He has been receiving a lot of advice concerning what he should do to create a winning baseball club. Mark asks you to study this problem and write him a report. You decide to use regression analysis to determine which statistics are important in developing a
Describe the research issue, problem, or opportunity and the accompanying data. Then, perform a regression analysis on your data using any method of computation. Finally, interpret the results of your regression analysis, state the limitations of your analysis, and describe the significance of the results as a whole. Be sure to
The attached table contains the ACT scores and the GPA scores (grade point average) for 8 students. GPA is based on a 4 point scale and has been rounded to one digit after the decimal. (i) Using Ordinary Least Squares regression, obtain the estimated parameters in the following equation: (ii) Compute the fitted values and