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Regression Analysis

Regression equation and analysis

Thompson Machine Works purchased several new, highly sophisticated machines. The production department needed some guidance with respect to qualifications needed by an operator. Four variables were listed. X1 = Length of time employee was a machinist X2 = Mechanical aptitude test score X3 = Prior on -the-job rating X4 = A

Multiple regression and correlation analysis relationship

Multiple regression and correlation analysis provides a means for examining the relationship between of two (2) or more independent variables and the dependent variable. In practical applications, it is likely that you will want to consider two (2) or more independent variables when addressing a problem, making multivariate anal

Regression Analysis: Interpretation of regression equation

Suppose the regression equation that has been used to estimate the value of existing homes is as follows; Value = 10,000 + 50X1 + 5X2 + 10,000X3 Where; X1 is square feet of livable area X2 is the size of the lot measured in square feet X3 is an indicator variable for the presence of a pool (1 if yes, 0 if no)

Correlation and Regression

A brokerage house wants to predict the number of trade executions per day, using the number of incoming phone calls as a predictor variable. Data were collected over a period of 35 days: a. Use the least-squares method to compute the regression coefficients b0 and b1. b. Interpret the meaning of b0 and b1 in this problem.

Multiple Regression Model

Develop a model to predict the employee's salary using the employee's age, years of experience, and gender. Since gender is nominal, use 0 for male and 1 for female. The "Multiple Regression" file has already been pre-loaded with the data, so you need only interpret the output. Complete the following tasks: a) State the mult

ACT Networks, Inc. develops, markets, manufactures, and sells integrated wide-area network access products. The following are annual sales data (in millions of dollars) from 2002 to 2007. Based on this data develop a linear trend equation for this time series. What is the firm's average increase in sales per year? Provide a forecast for sales for 2008.

ACT Networks, Inc. develops, markets, manufactures, and sells integrated wide-area network access products. The following are annual sales data (in millions of dollars) from 2002 to 2007. Based on this data develop a linear trend equation for this time series. What is the firm's average increase in sales per year? Provide a fore

Scatter plot and regression for Accu-Copier, Inc

1. Accu-Copiers, Inc. sells and services the Accu-500 copying machine. As part of its standard service contract, the company agrees to perform routine service on the copier. To obtain information about the time it takes to perform routine service, Accu-Copiers have collected data for 11 service calls. The data are shown below. I

Fitted Regression Equation

In the following regression (see attached data), 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 (See attached Data) to find the critical value at a=.05. c. What is you

Conducting an ANOVA Analysis and Multiple Regression

Prove the null hypothesis, based on the below data, which states that men infected with the AIDS virus may suffer a loss of mental function long before they experience other symptoms of the disease. The alternate hypothesis would be that men infected with the AIDS virus do not suffer a loss of mental function long before they ex

Sample Correlation, Intercepts, and the Coefficient of Determination

An analyst believe that the only important determinant of banks' return on assets (Y) is the ratio of loans to deposits (X). For a random sample of banks the sample regression line: Yhat = 0.97 + 0.57X 1.72 2.04 T statistics was obtained with the coefficient of determination 0.720. a. Find the sample correlat

Correlation and regression analysis.

QUESTIONS: (a) How does correlation analysis differ from regression analysis? (b) What does a correlation coefficient reveal? (c) State the quick rule for a significant correlation and explain its limitations. (d) What sums are needed to calculate a correlation coefficient? (e) What are the two ways of testing a correlati

Scatter Diagram and Regression

X: 1 3 10 16 26 36 y: 42 50 75 100 150 200 {ex=92, Ex=617, Ex^2=2338, Ey^2=82,389, EXY=13,642, and r=0.860} a) Draw scattered diagram and verify ey, ex^2, ey, ey^2, exy and the sample coefficient r b) Find sample means for x, y, and find a, and b and the equation of least squar

Casual Method-Linear Regression

I used the formula Y =a+bX but 1.Regarding the causal method of linear regression: a.What is the appropriate linear regression model (equation) to forecast sales? Use Excel and the LINEST function to create it. b.Use the equation to generate your forecasts for months 16-19. NOTE: There is NO missing information.

Basic Linear Regression Model

Given Data: X Y 11 24 12 25 16 33 13 25 12 19 15 24 16 25 18 35 Use the given data (above) to answer the following questions: 1. Determine the regression equation relating X and Y? Use the formula to determine the value of and hence find . 2. State the models being compared to determine if the

Regression of total assets and total revenues of large banks

In the following regression, X = total assets ($ billions), Y = total revenue ($ billions), and n = 64 large banks. (a) Write the fitted regression equation. (b) State the degrees of freedom for a two-tailed test for zero slope, and use Appendix D (attached) to find the critical value at a = .05. (c) What is your conclusio

Forecasting: The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. Use time series decomposition to forecast quarterly sales for the next year.

The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. Use time series decomposition to forecast quarterly sales for the next year. Quarter Sales Quarter Sales 1 160 5 215

Multiple regression: Antique collector

An antique collector believes that the price received for a particular item increases with its age and with the number of bidders. The attached file contains data on these three variables for 32 recently auctioned comparable items. a) Formulate and estimate a multiple regression model using the given data. Interpret each of t

Statistical Analysis for a Regression Equation

In the following regression, X = monthly maintenance spending (dollars), Y = monthly machine downtime (hours), and n = 15 copy machines. Please view the attached file for the required data. (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

Regression Equation

Compute the intercept of the regression line for the data below. X values -5 1 4 Y values 7 6 -2 A) 3.46 B) 3.67 C) 7.06 D) -1.55

Literacy and GDP to Life Expectancy

Do literacy and GDP explain life expectancy? Would you include any other independent variables? Explain the attached regression table and ANOVA table as a whole in detail as it correlates to the variables.

Beta Technologies, Inc. Employee Salary Structure: regression analysis

I need help with estimate simple linear regression model for the management of Beta Technologies, Inc. is trying to determine the variable that best explains the variation of employee salaries using a simple of 52 full time employees in the attached file. I need to identify which of the following has the strongest linear relatio

Linear Regression Analysis for Hypothesis Tests

Please perform a 5 step Regression hypothesis test on the baseball data attached. Graph(s) need to be included with the interpretation of the results. Please provide as much detail as possible. The hypothesis statement is: H0:There is no relationship between salary and number of wins H1: There is a relationship betwe

Trend Analysis for U. S. General Aviation Shipments

14.16 (a) Plot the data on U.S. general aviation shipments. (b) Describe the pattern and discuss possible causes. (c) Would a fitted trend be helpful? Explain. (d) Make a similar graph for 1992-2003 only. Would a fitted trend be helpful in making a prediction for 2004? (e) Fit a trend model of your choice to the 1992-

Consider the following data on 20 chemical reactions

I need to show a scatter diagram using the molecular weight as my x-axis. Consider the following data on 20 chemical reactions, with Y = chromatographic retention time (seconds) and X = molecular weight (gm/mole). (a) Make a scatter plot. (b) Use Excel to fit the regression, with fitted equation and R2. (c) In your own words,

Adding Two Sixth Order Polynomial Regression Equations

Please see the attached file. I have 2 data sets that determine a y-value based on known x-values (the x-values are given as temp degrees C) ---- each of those actual line graphs have been fitted with an approximate "best fit" line determined by Excel with 2 separate 6th order line equations. Our homework asks us to add th

Regression

Ho: Total home cost increases with additional square feet Ha: Total home cost does not increase with additional square feet Define bivariate regression, discuss fitted regression and using regression for prediction purposes. Please see attached data and help me to understand what each section means.

Regression and Correlation

Given your newfound knowledge about Regression and Correlation, apply it now to the real world and give me an example using my work experience; I work as an enrollment counselor registration students. I register anywhere from 5 to 10 students a month into associates programs. In addition, I have about 4 hours talk time a day.