Details of the regression analysis are as follows:

Slides:



Advertisements
Similar presentations
USING THE REGRESSION MODEL FOR PREDICTION AND ESTIMATION.
Advertisements

Inflation Report November 2014 Output and supply.
CALIFORNIA HOUSING MARKET FORECAST June California Housing Market Outlook SERIES: CA Housing Market Outlook SOURCE: CALIFORNIA ASSOCIATION OF REALTORS®
Estimation and Confidence Intervals
Sun Chips-Multigrain.  The problem definition: a presentation on the future action of the brand related to test market of 10 months.  Frito-Lay, Inc.
CDAE Class 15 Oct. 17 Last class: 4. Market demand and elasticity Quiz 4 Today: Result of Quiz 4 Review for the midterm exam Next class: Midterm.
STATISTICAL INFERENCE PART V
Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Managerial Economics, 9e Managerial Economics Thomas Maurice.
The Multiple Regression Model Prepared by Vera Tabakova, East Carolina University.
Find equation for Total Revenue Find equation for Marginal Revenue
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 7: Demand Estimation and Forecasting.
SIMPLE LINEAR REGRESSION
BCOR 1020 Business Statistics Lecture 21 – April 8, 2008.
Estimation of Market Size Existing Products – Sales Forecast New Product – Assessment of Market Opportunity Calculate – Market penetration rates Product.
Chapter 9: Correlation and Regression
Market for iPad. The iPad  First multi-touch screen tablet computer developed by Apple Inc.  Announced in Jan 27, Made available on the US.
Michael R. Baye, Managerial Economics and Business Strategy, 3e. ©The McGraw-Hill Companies, Inc., 1999 Managerial Economics & Business Strategy Chapter.
 To identify key words from last lesson on Cash flow  To construct a Cash flow forecast using given data (P3)  To analyse performance of Bright Sparks.
Chapter 7: Demand Estimation and Forecasting
Example 5 Advertising and Sales Chapter 6.5 Monthly sales y (in thousands of dollars) for Yang products are related to monthly advertising expenses x (in.
ADJUSTED EXPONENTIAL SMOOTHING FORECASTING METHOD Prepared by Dan Milewski November 29, 2005.
Confidence Intervals (Chapter 8) Confidence Intervals for numerical data: –Standard deviation known –Standard deviation unknown Confidence Intervals for.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 8-1 Confidence Interval Estimation.
23/11/2007Asian School of Business, Trivandrum Principles of Marketing Demand: How many will buy?!
Forecasting supply chain requirements
Managerial Economics Demand Estimation & Forecasting.
10B11PD311 Economics REGRESSION ANALYSIS. 10B11PD311 Economics Regression Techniques and Demand Estimation Some important questions before a firm are.
Chapter 7: Demand Estimation and Forecasting McGraw-Hill/Irwin Copyright © 2011 by the McGraw-Hill Companies, Inc. All rights reserved.
2010, ECON Hypothesis Testing 1: Single Coefficient Review of hypothesis testing Testing single coefficient Interval estimation Objectives.
4.05 Part III Forecasting sales for a marketing plan. SEM2.
Estimating Car Demand Demand Function for Car Industry Q = a 1 P + a 2 P x + a 3 I + a 4 Pop + a 5 i + a 6 A Demand Equation for Car Industry Q = -500P.
1 Avocado Regional Composite California Region January – March: 2011 vs
Session 4: Data and short run forecasting Demand Forecasting and Planning in Crisis July, Shanghai Joseph Ogrodowczyk, Ph.D.
Introduction to MIS1 Copyright © by Jerry Post Introduction to MIS Appendix 11 Creating a Business Plan.
1 Avocado Regional Composite South Central Region January – March: 2011 vs
Demand Estimation & Forecasting. Direct Methods of Demand Estimation Consumer interviews – Range from stopping shoppers to speak with them to administering.
R IDE OF Y OUR L IFE Rhea Black ( ) Leah Gillies ( ) Chanel Johnson ( ) Patrick McCrossin ( )
240,000 20p + a SATMathVideos.Net A) 550 books B) 600 books C) 650 books D) 700 books 1,000 books sold in a month when the price was $10 per book. An equation.
MARKET RESEARCH Applied to. MARKET RESEARCH Applied to.
Chapter 3 Lect 6 Forecasting. Seasonality – Repetition at Fixed Intervals Seasonal variations –Regularly repeating movements in series values that can.
Estimation and Confidence Intervals. Point Estimate A single-valued estimate. A single element chosen from a sampling distribution. Conveys little information.
Chapter 7 Demand Estimation and Forecasting
4 Opportunity Analysis, Market Segmentation, and Market Targeting
DRQ #5 AGEC pts September 17, 2013
Managerial Economics & Business Strategy
The Multiple Regression Model
© The Young Entrepreneurs Academy, Inc. All Rights Reserved
Answers to DRQ 7 (2pts) 1. In the simple linear regression model, yi = b0 + b1xi + ei, give the technical names of yi, xi, and ei. If b1=.6 interpret.
5.4 – Applying Definite Integration
For the cost function (given in dollars), find the marginal cost of 1,521 units. {image} $ $21.50 $ $
Marketing Plan: SnakPak
DRQ #3 September 17, 2009 Suppose that the demand for organic milk is given by Qd = 100 – 20P. (Qd is in terms of millions of gallons and P is in terms.
SIMPLE LINEAR REGRESSION
Estimation and Confidence Intervals
DRQ #7 Capps 5 pts October 11, 2011   (2pts) 1. In the simple linear regression model, yi = b0.
Details of the regression analysis are as follows:
DRQ #5 Capps 5 pts September 20, 2011
SIMPLE LINEAR REGRESSION
Estimation and Confidence Intervals
DRQ #12 – November 15, 2011 DRQ12 is worth 5 pts
Chapter 7: Demand Estimation and Forecasting
DRQ #11 November 10, 2011 (4pts) 1. Suppose that liquor sales is estimated using a seasonal model given by: Liquor Sales = *FALL + 5*SPRING.
DRQ #11 November 10, 2011 (4pts) 1. Suppose that liquor sales is estimated using a seasonal model given by: Liquor Sales = *FALL + 5*SPRING.
Q = 8.5 – 0.05P, where Q is measured in tons.
Chapter 7: Demand Estimation and Forecasting
DRQ #5 AGEC pts September 17, 2013
The Normal Distribution
DRQ #11 – October 22, (4 pts) (1/2 pt)
Inferences from Matched Pairs
Chapter 7 Demand Estimation & Forecasting
Presentation transcript:

Details of the regression analysis are as follows: Fall 2011 DRQ #9 November 3, 2011 Branded Products, Inc., based in San Francisco, CA, is a leading manufacturer of household laundry detergent and bleach products. About a year ago, Branded Products rolled out its new CleanX detergent in 30 regional markets, following its success in test markets. Specifically, you, as an analyst for Branded Products, Inc., estimate a demand model given by: QCleanX = f(PCleanX, PPG, AD, I), where Details of the regression analysis are as follows: QCleanX = number of cases of CleanX PCleanX = price per case of CleanX PPG = competitor (Proctor & Gamble) price per case AD = amount of advertising expenditures spent in each regional market I = average household income in each regional market .904 (1pt) (a) Use the regression model estimation results to forecast the demand in Houston, TX, (a new market), where the price per case is $155, the competitor (Proctor & Gamble) price is $90, the amount of advertising expenditures is $790, and the average household income for the Houston, TX, market is $41,234. Show all work. (1pt) (b) Construct a 95% confidence interval for your forecast in (a). A critical value of the t-distribution is needed to answer this problem. A co-worker suggests either t30, 0.05 = 2.042 or t25, 0.05 = 2.060 as the appropriate value. Select the correct value and use this value to construct the appropriate 95% confidence interval for your forecast in (a).

ˆ DRQ #9 – November 3, 2011 Dorito’s = 20 + 8t The trend analysis corresponding to the sales of Dorito’s potato chips yields the following results: Dorito’s = 20 + 8t Suppose that this analysis uses monthly observations from June 2008 to October 2011, a total of 41 observations. (0.5 pts) (a) What is the technical name of this model? (0.5 pts) (b) According to this model, sales of Dorito’s potato chips increase by ____________ dollars each month. (1 pt) (c) Provide the forecast for November 2011? ˆ