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Regression Analysis

Multiple Regression

The following information is a multiple regression problem. I need to explain what the regression analysis is explaining. It is using ANOVA, R-Squared, Adj R, b, t, f, etc. I have started but i want to make sure that i am heading in the right direction. If I could have someone explain to me exactly what the regression states

Regression, test of hypothesis, correlation

1) Car dealership chain owner wants to increase the car sales of his chain. He wants to determine which factors influence the sales performance. Owner thinks that the following factors have a significant impact on sales performance: X1 = number of years of experience as a car sales person X2 = age Sales performance is mea

Research and Evaluation

Refer to the Real Estate data, which reports information on homes sold in Denver, Colorado, last year. a. Let selling price be the dependent variable and size of the home the independent variable. Determine the regression equation. Estimate the selling price for a home with an area of 2,200 square feet. Determine the 95 perc

Ratio to Moving Average Method

I need help understanding the formula to use for this problem. Also, can this be calculated using a function in Excel? An analyst want to use the ratio-to-moving average method to forecast a cmpany's sales for the next few quarters. Beginning in Quarter 3 of 2002, the analyst collects the following sales data (in millions of

Simple Regression with Variable Swapping

Work through a second simple regression by switching the dependent and independent variables used in the first regression. Make very specific comments and give reasons regarding any similarities or differences in multiple R and the ANOVA.

Simple regression calculation

Work through a simple regression calculation using intrinsic job satisfaction and extrinsic job satisfaction. Select thirty data points to use for each group. Determine which group will be the dependent variable and which the independent variable. Will the final answer be a complete model equation.? If so please show the equatio

To determine line of regression and predict the value for a given value of x

Correlation and Regression -------------------------------------------------------------------------------- Use the data in the accompanying table. The data came from a study of ice cream consumption that spanned the springs and summers of three years. The ice cream consumption is in pints per capita per week, price of the ic

Regression of Labor Cost and Batch Size

An accountant wishes to predict direct labor cost (y) on the basis of the batch size (x) of a product produced in a job shop. Using labor cost and batch size data for 12 production runs, the following Excel Output of a Simple Linear Regression Analysis of the Direct Labor Cost Data was obtained. The scatter plot of this data is

Plantworld: develop a regression model to explain and predict supplies expense

Plantworld is a large nursery and retail store specializing in house and garden plants and supplies. Tito Nieves, the assistant manager, is in the process of budgeting monthly supplies expense for the next 12 months. He assumes that in some way supplies expense is related to store hours, sales dollars or employee hours worked

E44

In regression analysis, the omission of one or more significant explanatory variables from the regression equation constitutes: a multicollinearity b autocorrelation c specification error d heteroscedasticity e none of the above

Questions

(See attached file for full problem description) --- Q: The following data is given: Date Advertising Price Quantity January 25 12500 15 February 30 12200 17 March 26 11900 16 April 28 12000 18 May 27 11800 20 June 29 12500 18 July 28 11700 22 August 30 12100 15 September 24 1

Outline - General Motors Economic Affect

Outline Forecasting is an essential tool in any decision making process. There are various techniques of forecasting. I Regression analysis is used to forecast revenues and expenses: Regression analysis is any statistical method where the mean of one or more random variables is predicted conditioned on other (measured) r

How might you go about creating a stronger regression model?

How might you go about creating a stronger regression model? For example, you have a multiple regression model with an adjusted R-Square of 0.49, which would explain 49% of the variance of the dependent measure, and you would like to explain 70% of the variance of the dependent measure.

Monthly sales forecasting

The Gametime Hat Company manufactures baseball caps that have various team logos in an assortment of designs and colors. The company has had monthly sales for the past 24 months as follows. Month Demand (1,000s) 1 8.2 2 7.5 3 8.1 4 9.3 5 9.1 6 9.5 7 10.4 8 9.7 9 10.2 10 10.6 11 8.2 12 9.9 13 10.3

Value of the Regression Coefficient

Please only supply a solution if it can be typed using software such as mathtype. --- The regression line of y on x for n pairs of data has the equation . If the data is coded by means of the relations: what restrictions, if any, must be placed to ensure that the value of the regression coefficient b is unaffected? ---

Regression and frequency tables.

Please find attached problem and excel worksheet that relates. --- (a) The regression line of y on x for n pairs of data has the equation . If the data is coded by means of the relations: what restrictions, if any, must be placed on and to ensure that the value of the regression coefficient b is unaffected?

Questions and Problems

1. Regression analysis is a statistical procedure for developing a mathematical equation that describes how: a. one independent and one or more dependent variables are related b. several independent and several dependent variables are related c. one dependent and one or more independent variabl

Regression Problem - Job Satisfaction

Work through a simple regression calculation using intrinsic job satisfaction and extrinsic job satisfaction. (intrinsic job satisfaction being the independant variable and extrinsic job satisfaction being the dependant variable) Represent the equation as y = bx + a. The data set for intrinsic and extrinsic job satisfaction

Using Regression to Study Recent Loans of a Large Bank

A mortgage department of a large bank is studying its recent loans. Of particualr interest is how such factors as the value of the home (in thousands of dollars), education level of the head of the household, age of the head of the household, current monthly mortgage payment (in dollars), and gender of the head of the household

Regression Model and Graphng

View the enclosed graph and data set Write an equation of the form y=mx +b for your graph model and explain what the value of m tells you about this situation. Building Stories Height Indiana Bell Telephone Bldg. 20 320 National City Center 23 301 Los Angeles City Hall 28 454 Pacific Tower 30 350 United Nations Buildi

Regression and Correlation

52. Refer to the Baseball 2000 data (Appendix D), which reports information on the 2000 Major League Baseball season. a. Let the games won be the dependent variable and total team salary, in millions of dollars, be the independent variable. Can you conclude that there is a positive association between the two variables? D

Underlying average of a time series

When the underlying average of a time series is very stable and there is no trend, cyclical, or seasonal influences: a. A simple moving average forecast with n = 20 should outperform a simple moving average forecast with n = 3. b. A simple moving average forecast with n = 3 should outperform a simple moving average forecast wi

Forecasting & Scatter Diagrams

I need help with these questions: An advantage of exponential smoothing over a simple moving average is that exponential smoothing requires one to retain less data. True False Which of the following statements about scatter diagrams is true? Time is always plotted on the Y axis. It can