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
I need to be able to critically assess a regression analysis printout from EViews (sample attached) and be able to identify possible issues - i.e.: - potential heteroskedasticity - potential autocorrelation - potential multicollinearity problem prior to running the specific tool which provides further analysis for one of
Question A1: The smoke concentration (in mgm-3) is monitored over a northern industrial region every day at 16.00 hours for 75 consecutive weekdays. The results are tabulated below. Smoke Concentration (mgm-3) 71 85 95 84 65 89 87 73 67 72 96 87 69 42 56 100 68 56 92 65 71 86 6
An experiment was conducted to investigate the effect of four treatments, A, B, C and D on the yield of penicillin in a manufacturing process. It was necessary to use a different blend for each application if the four treatments. The results of the yields for this randomised block experiment are given in the table below.
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 only the output of the regression procedure but also the model equ
Comment briefly what these two boxplots reveal: Dependent variable: log (w) w: wage (earnings per hour) Independent variables: female, union member, non-white, years of schooling, years of experience, experience squared. *(Please see attachment for graphs)
Q1 The bad debt ratio for a financial institution is defined to be the dollar value of loans defaulted divided by the total dollar value of all loans made. Suppose a random sample of seven Ohio banks is selected and that the bad debt ratios (written as percentages) for these banks are 7 percent, 4 percent, 6 percent, 7 percent,
(a)B (b)B^=INV(X'X)X'y Which is a random variable, why?
If the disturbance are not conditionally homoskedastic.....
A: What is the significance of the error term in the regression equation? B: What does zero correlation tell you? C: How would you use a histogram to chart residuals? What would this tell you? D: How do you identify outliers in your data? How do they impact your regression equation?
Using the database 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 only the output of the regression procedure b
2. Using the database: b. develop a Linear Regression model using intrinsic job satisfaction and extrinsic job satisfaction. You can decide which you want to make the dependent variable and which the independent. Comment on your analysis (Rsq, Rsq adj, ect.) You are to provide not only the output of the regression procedure
1. A radio disc jockey track of the number of request for songs by a certain artist and the time of day the request calls were made. The data is displayed. Request: 9 0 10 0 5 0 9 5 Time of day: 2p.m. 3p.m. 4p.m.
The Rio-River Railroad, headquartered in Santa Fe, New Mexico, is trying to devise a method for allocating fuel costs to individual railroad cars on a particular route between Denver and Santa Fe. The railroad thinks that fuel consumption will increase as more cars are added to the train, but it is uncertain how much cost should
4.6 Air Conditioning Repairs. Richard's Heating and Cooling in Prescott, Arizona, charges $55 per hour plus a $30 service charge. Let x denote the number of hours required for a job and let y denote the total cost to customer. a) Obtain the equation that express y in terms of x b) Find b0 and b. c) Construct a table for the
Our analysis reviews faculty salaries to see if there is in fact a substantial salary difference based upon gender. We have collected data from 1,446 random institutions across the United States. We have obtained salary information for both men and women faculty members, separately, within public, private and church-related in
U.S. Virgin Islands is a popular tourist destination, particularly during winter months. Tourists come from all over the world. Majority of these tourists typically stay 3- 5 nights in hotels, and spend significant amount of money on a variety of activities including playing golf, scuba diving, snorkeling, and just enjoying th
A) What is the least square of y on x and interpret the slope of the fitted regression b) Find and interpret the coefficient of determination for the fitted regression c) What is the 95% confidence interval for the slope of the population line. d) Find the point forcast of the rate of return on the stock of Ill. Power next mo
See the attachments. Problem: We are using a linear regression model (time series) to predict sales of our "WW" brand. Historically, sales of this product for the period 1982 to date (1982 through summer 2003; assume 1982 was year one) have been approximated by the following data (in thousands of units): Y = 3.984X + 2.994
1. Given the number of contacts and sales made by a company over two months, compare the numbers each month and determine the regression equation and the estimated sales if 40 contacts are made. Also, determine the standard of error estimate ... *(Please see attachment for complete problem and problem #2)
Use the formulas for a regression line to solve the following: The following are times in minutes between the duration of an eruption and the length of time before the next eruption at Yellowstone. Predict the interval for the next eruption if the duration of the last one was 2.82 minutes; explain conclusion - Answer is 67.7 but
The Rio-River Railroad, headquartered in Santa Fe, New Mexico, is trying to devise a method for allocating fuel costs to individual railroad cars on a particular route between Denver and Santa Fe. The railroad thinks that fuel consumption will increase as more cars are added to the train, but it is uncertain how much cost should
State the goal of two statistical methods to formulate hypotheses.
The following must be solved in Excel: Problem one: Mr. James McWhinney, president of Daniel-James Financial Services, believes there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, Mr. McWhinney gathered the following sample information. The X column indica
1. The regression equation (attached) was computed from a sample of 20 observations. SSE was calculated to be 100 and SS total was 400. a. Calculate the standard error of the estimate for the observations. b. Determine the coefficient of determination.
The following data has been collected for two variables, X and Y. X Y 5 30 10 41 15 53 20 62 25 67 A simple linear regression model has been constructed using the data in the table and is being used to predict values for the variably Y Of 3, 7, 18 and 35, how do I determine which for variable X would lead to
I need to figure out the regression equation, the value of Y when X is 7, the slope of the regression equation, the Y-intercept of the regression equation, the coefficient of correlation, and the coefficient of determination.
Applicants for a particular job that involves extensive travel in Spanish speaking countries, must take a proficiency test in Spanish. The sample data below was obtained in a study of the relationship between the numbers of years applicants have studies Spanish and their score on the test. # of Years (χ) 3 4 4 2 5 3
Manatees are large sea creatures that live in the shallow water alone the coast of Florida. Many manatees are injured or killed each year by powerboats. Here are the data on manatees killed and powerboat registration (in thousands of boats) in Florida for the period 1984 to 1990. Year Powerboats Manatees Killed γ