Explore BrainMass

Regression Analysis

Multiple regression analysis problems

3. The director of marketing at Reeves Wholesale Products is studying the monthly sales. Three independent variables were selected as estimators of sales: regional population, per-capita income and regional unemployment rate. The regression equation was computed to be (in pounds). Y' = 64,100 + 0.394X1 + 9.6X2 + 11,600X3

Bingo Hamburger Co has a chain of 12 stores in a large city.

Bingo Hamburger Co has a chain of 12 stores in a large city. Sales figures and profits for the stores are given in the following table. Obtain a regression line for the data & predict profit for a store assuming sales of $10 million. X Y SALES PROFITS $7 $.15 2 .10

Scatter Plot for Absences Versus Grades

10. You are given the following data. Number of Absences Final Grade 0 96 1 91 2 78 2 83 3 75 3 62 4 70 5 68 6 56 a. Make a scatter plot for the data. b. Find the correlation coefficient for the data. c. Find the equation for the regression line for the data, and predict the final grade of a student who misses 3

Regression analysis is adopted to predict direct labor cost (y) on the basis of branch size (x) of a product produced in a job shop. Step by step method for regression analysis is discussed here. Regression coefficients, coefficient of determination, scatter diagram and significance of regression model are explained in the solution.

Always get overwhelmed by the amount of material when covered at a comprehensive level. Attached is the study material of what to be prepared to cover at the conclusion of this course. I have worked through them but get stumped at several points. Can you provide a systematic approach to these problems and provide a reference to

Correlation and Regression

See attachment for the problems I am struggling with. Thanks in advance for any help provided. In the following exercises, construct a scatter plot, find the value of the linear correlation coefficient r, find the critical value of r from Table A-6 by using α = 0.05 and determine if there is a linear correlation betwe

The Minnesota Department of Transportation

The Minnesota Department of Transportation hoped that they could measure the weights of big trucks without actually stopping the vehicles by using a newly developed "weight-in-motion" scale. To see if the new device was accurate, they conducted a calibration test. They weighed several trucks when stopped (static weight) assumin

Regression equation and standard error of the estimate.

Would like step-by-step guidance with the attached statistics problems. 1. Compute the regression equation (Solving of both "a" and "b") and compute the standard error of the estimate. Sample size = 20 X= amount of disposable Income (000$) Y= amount of life insurance (000$) Sum of X = 334 Sum of Y = 799 Sum of X*Y=

Forecasting using Regression Analysis

Demand for stereo headphones and CD players for joggers has caused Nina Industries to experience growth of almost 50% over the past year. The number of joggers is continuing to expand, so Nina expects demand for headsets to also expand. Demands for the stereo headsets for last year was as follows: January 4,200 February 4,

It Ain't Easy Being a Cookie Monster

A group of young cookie monsters sit down to eat. They devour several cookies each, but unfortunately many of them experience stomach pains; it turns out that there were hidden vegetable chips inside of the cookies. Cookie monsters hate vegetables. The ratings of cookies eaten and stomach pain ratings (higher is more pain) are s

Forecasting with linear trend

The number of new contributors to a public radio station's annual fund drive over the last ten years is 63, 58, 61, 72, 98, 103, 121, 147, 163, 198 Develop a trend equation for this information, and use it to predict next year's number of new contributors. ANS: FORECASTING WITH LINEAR TREND: *******************

Regression, ANOVA, Hypothesis

Need explanation. File attached. Problem 1 A,B,C Inc. produces fresh, a brand of liquid laundry detergent. In order to more effectively manage its inventory and make revenue projections, the company would like to like to better predict demand for Fresh. The company has established the flowing demand equation:

Multiple Linear Regression Model - Babies R' Us Case Study

Please see two attached files: case study is the word doc; and the data is in excel. ----------------------------- Babies R'Us Case Study You have been hired as a strategic consultant by the hugely successful retailer "Babies R'Us". The company sells many products, although one product in particular, a highly innovativ

Chi square test and regression analysis problems

Hello, Attached are 5 statistics problems that I need help. I would like detailed step-by-step guidance to help me better understand the problems. Thanks in advance. 1. To examine the continuity and discontinuity in the criminal careers of 7,453 females of low socio-economic status, Tracy and Kempf-Leonard (1996) ex

Analysis of the Number of Touchdowns

Can you predict the number of touchdowns from the following variables: attempts, yards, and yards per game? Develop a correlation matrix for the 3 predictor variables, do you suspect multicolinarity? What is your multiple regression equation, is it significant? Predict the number of touchdowns for a back with 200 at

Regression & Seasonal Index

Determining a Seasonal Index Listed below is the net sales in $ million for Home Depot, Inc. and its subsidiaries from 1993 to 2002. Year Net Sales 1993 9,239 1994 12,477 1995 15,470 1996 19,535 1997 24,156 1998 30,219 1999 38,434 2000 45,738 2001 53,553 2002 58,247 Determine the least squares equation. On the

Linear Regression and Correlation Analysis

Molly Prickett has just purchased a relatively small manufacturing company. The Company employs approximately 125 hourly workers, all performing essentially the same assembly-line operation. These non-unionized workers are concerned because they believe their wages for the past 21 years did not keep up with inflation. The Pri