See attached file for full problem and data. Use R, Minitab if possible Please give a clear explanation for the solution. Problem 13.3. Use table 13.1. (a) Calculate the logit line for X2 = 0, X3 = 1, and X5 = 1. Plot logit(Pibar) vs. age in years. (b) Plot (Pibar) vs. age in years for part (a). (c) What
Describe a regression relationship you think might exist. Be sure to describe the independent variable, dependent variable, and the type of relationship you think would exist (positive or negative). If you have an article you'd like to attach, please do so. Regression examples are common in business news.
See attached files. Please prepare a Logistic regression to see if a relationship between infection (or non infection) and the 4 assays for the populations.
Prepare a report using Excel as your processing tool to process 3 simple regression analyses. Create a graph with the trendline displayed for each of the 3 different regressions. 1. First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC j
A consumer organization wants to develop a regression model to predict gasoline mileage (MPG) based on the horsepower of the car's engine and the weight of the car (in pounds). A sample of 50 recent car models was selected, with the results shown at left. Q-12a: Write the multiple regression equation. (Use four decimals of p
Keeping Cars Longer: The median age of vehicles on U.S. roads for seven different years are given as follows: [PLEASE REFER TO THE ATTACHMENT FOR THE DATA]. 26. Regression Line: Find the graph and regression line. 30. Error of Estimate: Find the standard error of estimate and interpret the results.
See attached file. Please show all working in same excel file. A real estate company in downtown Miami would like to be able to predict the monthly rental cost for apartments, based on the size of the apartment, as defined by square footage. A sample of 25 apartments in a particular residential neighborhood was chosen.
Please refer to the attachment for details.
Consider the airline ticket data in the file P13_01.xlsx. a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think should be used for forecasting? Why? b. Use simple exponential smoothing to forecast these data, using no holdout period and requesting 12 months
See attached file for datasets on low birth weight and related risk factors. * Must do a complete data analysis and report. * Can use any statistical software, but R software is preferred. If software other than R is used, then detailed descriptions of techniques used are to be provided. * Details of the requirements are i
1.) The linear regression model has a slope or -2.5 and an intercept of 10. The sample coefficient of determination is 0.50. What is the value of the sample correlation coefficient? 2.) What percentage of observations of a normal distribution are represented by the mean plus or minus 1.96 standard deviations?
These assignments will help you learn about statistical models for forecasting. You will learn about time series methods, such as the moving average, exponential smoothing, and linear trend line and, regression, which is used for forecasting by establishing a mathematical relationship between two or more variables. Read Chap
See attached file. The file housing.xls contains sample data on the assessed price of a house (in $1,000s) and the house's floor space (in square feet). Pls Do with Excel, except where stated, and explain your results. a. Determine the proper dependent variable and then plot a scatter diagram with the dependent variable on
For Each Equation I need (F) written out.... There are two 12.48 In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald's employees. (a) Write the fitted regression equation. W Y = 0.0343X + 30.7963 (b) State the degrees of freedom for a two tailed test for zero slope, and use Appe
See attached files. 9 questions: Chi-Square Tests and Nonparametric Tests/Simple Linear Regression 1. A sample of 500 shoppers was selected in a large metropolitan area to determine various information concerning consumer behavior. The results are summarized in the following contingency table: Enjoy Shopping for clothin
8. The regional transit authority for a major metropolitan area wants to determine whether there is any relationship between the age of a bus and the annual maintenance cost. A sample of 10 buses resulted in the following data. (Use of TI - 83 plus calculator permited given that steps are provided). Age of the Bus (yrs.)
Ask a sample of people if they take vitamins/supplements daily and how many (see data attached). Conduct a regression analysis to determine if age (independent variable) has any effect on the number of vitamins/supplements people take. Use the "Correlation and Regression" spreadsheet. Again, enter data in yellow and read outp
See attached file. (15.59) Computer database GROWCO describes the characteristics of 100 companies identified by Fortune as the fastest growing. Two of the variables listed are revenue and net income (millions of dollars) for the most recent four quarters. Determine the linear regression equation describing net
[See attached files.] This assignment introduces you to applications of simple and multiple regression. You will apply these models for predicting and forecasting and, determining the strength of the relationship between a variable y and a number of variables X1, ..., Xp. Skill- Building Exercises: ? 1. For the Home M
[See attached file.] The ThermoStar Case ThermoStar has been producing residential thermostats for over 50 years. Looking over the past 20 quarters (5 years) of the different product lines, the general manager has been trying to get a handle on sales, costs, and production, and has asked for your help. Your response t
What is the relationship between independent and dependent variables with regard to correlation and regression analysis? How is regression analysis used in forecasting? Provide an example from work, community or home.
See attached files. Chi-Square Tests and Nonparametric Tests/Simple Linear Regression 1. A sample of 500 shoppers was selected in a large metropolitan area to determine various information concerning consumer behavior. The results are summarized in the following contingency table: Enjoy Shopping for clothing Gender
See attached file for clarity. Data Item Quantity (# of Books Produced) Total Cost of Production 1 2 $30 2 5 $40 3 8 $73 4 10 $100 5 11 $130 6 12 $90 7 14 $150 8 15 $160 9 16 $160 10 17 $180 11 18 $240 12 19 $280 13 20 $180 14 21 $181 15 22 $185 16 23 $190 17 24 $200 18 25 $200 19 26 $275 20 28 $215 21 30
In Bazemore v. Friday, 478 U.S. 385 (1986), a case involving pay discrimination in the North Carolina Extension Service, the plaintiff, a group of black agents, submitted a multiple regression model showing that, on average, the black agents' salary was lower than that of their white counterparts. When the case reached the court
See attached file. (15.23) For the National Football League, ratings for the alltime leading passers were as shown below. Also shown for each quarterback is the percentage of passes that were interceptions, along with the percentage of passes that were touchdowns. Player Rating TD% Int
See attached file. (15.10) The following data represent x = boat sales and y = boat trailer sales from 1995 through 2000. Boat Boat Sales Trailer Sales Year (Thousands)(Thousands) 1995 649 207 1996 619 194 1997 596 181 1998 576 174 1999 585 168 20
The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project. Of particular interest is whether the number of bidders increases or decreases the amount of the winning bid. Project Number of bidders X Winning Bid in Millions 1 9
See attached file for the tables. 12.48 In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald's employees. (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 ? = .05. (c) W
(a) Make an Excel line graph of the data on computer viruses. (b) Discuss the underlying causes that might explain the trend or pattern. (c) Fit three trends (linear, exponential, quadratic). (d) Which trend model is best, and why? If none is satisfactory, explain. (e) Make a forecast for 2003, using a trend model of you
See attached file for tables. Set of problems. Show all essential work. Problem 1 Consider the following prices and accuracy ratings for 27 stereo speakers. (a) Make a scatter plot of accuracy rating as a function of price. (b) Calculate the correlation coefficient. At ? = .05, does the correlation differ from zero?