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.

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.
Chapter Thirteen McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. Linear Regression and Correlation.
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.
Data Analysis Statistics. Inferential statistics.
Regression Analysis. Unscheduled Maintenance Issue: l 36 flight squadrons l Each experiences unscheduled maintenance actions (UMAs) l UMAs costs $1000.
Correlation and Regression Analysis
1 Qualitative Independent Variables Sometimes called Dummy Variables.
Linear Regression and Correlation
SIMPLE LINEAR REGRESSION
Chapter 3 Summarizing Descriptive Relationships ©.
Quantitative Business Analysis for Decision Making Simple Linear Regression.
SIMPLE LINEAR REGRESSION
Data Analysis Statistics. Inferential statistics.
Correlation 1. Correlation - degree to which variables are associated or covary. (Changes in the value of one tends to be associated with changes in the.
Correlation and Linear Regression
McGraw-Hill/Irwin Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 13 Linear Regression and Correlation.
SIMPLE LINEAR REGRESSION
Introduction to Linear Regression and Correlation Analysis
Correlation Scatter Plots Correlation Coefficients Significance Test.
Linear Regression and Correlation
Correlation and Linear Regression
CHAPTER 14 MULTIPLE REGRESSION
Correlation and Linear Regression. Evaluating Relations Between Interval Level Variables Up to now you have learned to evaluate differences between the.
Multiple Regression and Model Building Chapter 15 Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
Inference for Regression Simple Linear Regression IPS Chapter 10.1 © 2009 W.H. Freeman and Company.
Lesson Multiple Regression Models. Objectives Obtain the correlation matrix Use technology to find a multiple regression equation Interpret the.
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.
STA 286 week 131 Inference for the Regression Coefficient Recall, b 0 and b 1 are the estimates of the slope β 1 and intercept β 0 of population regression.
Chapter 9: Correlation and Regression Analysis. Correlation Correlation is a numerical way to measure the strength and direction of a linear association.
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.
EXCEL DECISION MAKING TOOLS BASIC FORMULAE - REGRESSION - GOAL SEEK - SOLVER.
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.
Linear Regression and Correlation Chapter GOALS 1. Understand and interpret the terms dependent and independent variable. 2. Calculate and interpret.
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.
EXCEL DECISION MAKING TOOLS AND CHARTS BASIC FORMULAE - REGRESSION - GOAL SEEK - SOLVER.
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin Linear Regression and Correlation Chapter 13.
QNT 561 Week 5 Weekly Learning Assessments – Assignment
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
BUS 308 Entire Course (Ash Course) For more course tutorials visit BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 & 3.22 BUS 308.
BUS 308 Entire Course (Ash Course) FOR MORE CLASSES VISIT BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 & 3.22 BUS 308 Week 1.
26134 Business Statistics Week 4 Tutorial Simple Linear Regression Key concepts in this tutorial are listed below 1. Detecting.
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
Summarizing Descriptive Relationships
Global Investments, Inc. Student Coaching Slides
Green Guard Care: Coaching Notes
Green Guard Care: Coaching Notes
Royal Bank of Midwest Student Coaching Notes
Green Guard Care: Coaching Notes
Global Investments, Inc. Student Coaching Slides
Green Guard Care: Coaching Notes
Transnational Investments, Inc. Student Coaching Slides
Royal Bank of Midwest Student Coaching Notes
Bluefield Health Plan: Coaching Notes
STEM Fair Graphs.
SIMPLE LINEAR REGRESSION
True Master Plan: Coaching Notes
SIMPLE LINEAR REGRESSION
BEC 30325: MANAGERIAL ECONOMICS
Summarizing Descriptive Relationships
Presentation transcript:

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 employees. Managed care plans use the premium to cover payments to health care providers, administrative costs, and profit. Bluefield’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.

3 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

4 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?

5 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 Be sure to use the appropriate instructions.

6 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 Be sure to correctly indentify the X and Y variables.

7 Question 3: Regression Analysis Coefficient of Determination – (R 2 ) 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.

8 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

9 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

10 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.

11 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?