Green Guard Care: Coaching Notes

Slides:



Advertisements
Similar presentations
Lesson 10: Linear Regression and Correlation
Advertisements

Inference for Linear Regression (C27 BVD). * If we believe two variables may have a linear relationship, we may find a linear regression line to model.
Learning Objectives Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Bivariate Correlation and Regression CHAPTER Thirteen.
Learning Objectives 1 Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.
Chapter 14 The Simple Linear Regression Model. I. Introduction We want to develop a model that hopes to successfully explain the relationship between.
Introduction to Regression Analysis
Linear Regression and Correlation
SIMPLE LINEAR REGRESSION
Chapter 3 Summarizing Descriptive Relationships ©.
SIMPLE LINEAR REGRESSION
Data Analysis Statistics. Inferential statistics.
Correlation and Linear Regression
SIMPLE LINEAR REGRESSION
Introduction to Linear Regression and Correlation Analysis
Correlation and Linear Regression
Consumer Directed Health Plans: New evidence on cost and utilization iHEA Conference, Barcelona, Spain July, 2005 Roger Feldman, Stephen T. Parente, and.
Managerial Economics Demand Estimation. Scatter Diagram Regression Analysis.
1 Bluefield Health Plan: Coaching Notes. 2 Managed Care – the Facts Companies usually pay a managed care plan a monthly premium, based on the number of.
Inference for Regression Simple Linear Regression IPS Chapter 10.1 © 2009 W.H. Freeman and Company.
10B11PD311 Economics REGRESSION ANALYSIS. 10B11PD311 Economics Regression Techniques and Demand Estimation Some important questions before a firm are.
1 Transnational Investments, Inc. Student Coaching Slides.
Section 9-1: Inference for Slope and Correlation Section 9-3: Confidence and Prediction Intervals Visit the Maths Study Centre.
© Copyright McGraw-Hill Correlation and Regression CHAPTER 10.
Scatter Diagrams scatter plot scatter diagram A scatter plot is a graph that may be used to represent the relationship between two variables. Also referred.
Regression Analysis. 1. To comprehend the nature of correlation analysis. 2. To understand bivariate regression analysis. 3. To become aware of the coefficient.
1 To Loan or Not to Loan Student Coaching Notes. 2 Concepts Covered Statistics Macroeconomics Ethics.
26134 Business Statistics Week 4 Tutorial Simple Linear Regression Key concepts in this tutorial are listed below 1. Detecting.
BPA CSUB Prof. Yong Choi. Midwest Distribution 1. Create scatter plot Find out whether there is a linear relationship pattern or not Easy and simple using.
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin Linear Regression and Correlation Chapter 13.
Correlation and Linear Regression Chapter 13 McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
HW 21 Key. 23:41 Home Prices. In order to help clients determine the price at which their house is likely to sell, a realtor gathered a sample of 150.
Inference about the slope parameter and correlation
Correlation and Linear Regression
Summarizing Descriptive Relationships
Global Investments, Inc. Student Coaching Slides
Regression Analysis AGEC 784.
BUS 308 mentor innovative education/bus308mentor.com
REGRESSION (R2).
10.2 Regression If the value of the correlation coefficient is significant, the next step is to determine the equation of the regression line which is.
Linear Regression and Correlation Analysis
Correlation and Regression
Managerial Economics & Business Strategy
Green Guard Care: Coaching Notes
BUS 308Competitive Success/tutorialrank.com
BUS 308 Education for Service-- tutorialrank.com.
BUS 308 MENTOR Education for Service--bus308mentor.com.
BUS 308 HELPS Education for Service-- bus308helps.com.
Royal Bank of Midwest Student Coaching Notes
Green Guard Care: Coaching Notes
I271B Quantitative Methods
Correlation and Regression
Coefficient of Determination and Standard Error of the Estimate.
Global Investments, Inc. Student Coaching Slides
LESSON 24: INFERENCES USING REGRESSION
Health Insurance Premiums & Benefits
Green Guard Care: Coaching Notes
Transnational Investments, Inc. Student Coaching Slides
The Weather Turbulence
Royal Bank of Midwest Student Coaching Notes
Bluefield Health Plan: Coaching Notes
STEM Fair Graphs.
Correlation and Regression
SIMPLE LINEAR REGRESSION
True Master Plan: Coaching Notes
SIMPLE LINEAR REGRESSION
Health Insurance Premiums & Benefits
BEC 30325: MANAGERIAL ECONOMICS
Summarizing Descriptive Relationships
Presentation transcript:

Green Guard Care: Coaching Notes

Managed Care – the Facts Companies usually pay a managed care plan a monthly premium, based on the number of employees. Managed care plans use the premium to cover payments to health care providers, administrative costs, and profit. Green Guard’s current contracts with providers involve fee-for-service payment. Physicians and hospitals are paid their asking fee for each patient visit or service. For physician visits, employees only pay the deductible, which is currently $15/visit.

Question 1: Table 1 Data Has spending on physician services really gone up much more than in other areas? Calculate Percent Change for each category: = (New Value – Old Value) Old Value

Question 1: Allocation of Premium $ The managed care plan allocates premium income across functional areas. Hospital services may involve different claims and payment procedures. Managers in these areas set up different budgets and use different mechanisms to control the use of services. Calculate the % of total costs for each category – how do these compare to the allocations? 13

Question 2: Sample Statistics and Scatter Plot Create two new variables: visits/employee and cost/visit. How do these compare over time? Calculate means and standard deviations: consider confidence intervals for these variables. Scatter Plots: Instructions for making scatter plots with Excel are on the Materials section of BUS 302 web site. There are instructions for Excel 2003 and Excel 2007. Be sure to use the appropriate instructions.

Question 3: Regression Analysis Evaluate the time trends in visits per week and cost per visit. Use regression. Instructions are in the Materials section of the BUS 302 web site for both Excel 2003 and Excel 2007. Be sure to correctly indentify the X and Y variables. 13

Question 3: Regression Analysis Coefficient of Determination – (R2) The percent of variation in the dependent variable (Y) accounted for by variation in the independent variable (X). The closer to 1 the better. Regression Coefficients Coefficient on x-variable measures the slope of the trend Line. (Positive Sign - Positive Relationship, Negative Sign – Negative Relationship) t-statistic and p-value are used to indicate the observed level of significance.

Question 4: Elasticity of Demand Calculate the Arc Price Elasticity of Demand Is demand for physician services elastic or inelastic? Explain. See the discussion of elasticity on the course website: LDC-Microeconomics Review

Note: a change in the deductible has two effects: Question 4: Note: a change in the deductible has two effects: Reduces the number of visits per employee Reduces the cost per visit by $5 Estimate new level of visits for each

Question 5: Evaluation of Alternatives How much of a rate reduction (%) is required of physicians, to meet your target? Consider the pros and cons of each approach.

Question 6: Rationing? Consider the ethical implications of restricting the use of services. Compare to expected results of the other possible approaches. Why not just increase the premium? Other considerations?