Exercise 1.1 (Problem Statement) Problem Statement: A bed company is considering hiring an advertising firm to stimulate business. The management consults.

Slides:



Advertisements
Similar presentations
Question:- A company assembles four products (1, 2, 3, 4) from delivered components. The profit per unit for each product (1, 2, 3, 4) is £10, £15, £22.
Advertisements

x 4 = You were too slow………….. Click below to start again!
Dr. Michael R. Hyman, NMSU Correlation (Click icon for audio)
Statistics. Overview 1. Confidence interval for the mean 2. Comparing means of 2 sampled populations (or treatments): t-test 3. Determining the strength.
Linear Regression Larson/Farber 4th ed. 1 Section 9.2.
THE IDENTIFICATION PROBLEM
Time Series and Forecasting
1 Percent Proportion. 2 Percent Means ‘of a hundred’
EOC Practice #27 SPI EOC Practice #27 Using a scatterplot, determine if a linear relationship exists and describe the association between variables.
EXPERIENCES WITH HOW STUDENTS HAVE DIFFICULTY IN APPLYING STATISTICAL THINKING Tom Jones University of Arkansas.
THE MAGIC OF LEARNING 2009 Quinín Freire PLACE VALUE 1 HUNDREDS.
Check it out! 4.3.3: Distinguishing Between Correlation and Causation
Do Not Resuscitate Not Followed ALHE 4060 Joely Cope.
Question # 1 For $100 15$1,000,000 14$500,000 13$250,000 12$125,000 11$64,000 10$32,000 9$16,000 8$8,000 7$4,000 6$2,000 5$1,000 4$500 3$300 2$200 1$100.
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Correlation & Regression
Linear Regression Handbook Chapter. Experimental Testing Data are collected, in scientific experiments, to test the relationship between various measurable.
Practical Statistics Regression. There are six statistics that will answer 90% of all questions! 1. Descriptive 2. Chi-square 3. Z-tests 4. Comparison.
Problem Solving ALL Mixed Up Standard Form Point Slope Form Slope Intercept Form $500 $400 $300 $200 $100.
And other Lies and Damned Lies
Correlation and Regression. Section 9.1  Correlation is a relationship between 2 variables.  Data is often represented by ordered pairs (x, y) and.
ECON 338/ENVR 305 CLICKER QUESTIONS Statistics – Question Set #8 (from Chapter 10)
Correlation and Regression. fourth lecture We will learn in this lecture: Correlation and Regression 1- Linear Correlation Coefficient of Pearson 2- Simple.
Correlation.
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.
Linear Regression 1 Section 9.2. Section 9.2 Objectives 2 Find the equation of a regression line Predict y-values using a regression equation.
UNIT 2 BIVARIATE DATA. BIVARIATE DATA – THIS TOPIC INVOLVES…. y-axis DEPENDENT VARIABLE x-axis INDEPENDENT VARIABLE.
26134 Business Statistics Week 4 Tutorial Simple Linear Regression Key concepts in this tutorial are listed below 1. Detecting.
Applications of Linear and Quadratic Equations
Place Value Whole Numbers Place Value © Math As A Second Language All Rights Reserved G 3 – 5.
Bar Graphs Used to compare amounts, or quantities The bars provide a visual display for a quick comparison between different categories.
4.5 – Analyzing Lines of Best Fit Today’s learning goal is that students will be able to Use residuals to determine how well lines of fit model data. Distinguish.
CHAPTER 10 & 13 Correlation and Regression Instructor: Alaa saud Note: This PowerPoint is only a summary and your main source should be the book.
Introduction. We want to see if there is any relationship between the results on exams and the amount of hours used for studies. Person ABCDEFGHIJ Hours/
Correlation and Linear Regression
Cost-Volume-Profit Analysis: A Managerial Planning Tool
REGRESSION (R2).
Unit 6 test review Describing data.
Place Value.
Quantitative Methods
Quantitative Methods
Quantitative Methods
Quantitative Methods
Quantitative Methods
Quantitative Methods
4.5 – Analyzing Lines of Best Fit
Simple Linear Regression and Correlation
1) A residual: a) is the amount of variation explained by the LSRL of y on x b) is how much an observed y-value differs from a predicted y-value c) predicts.
Relationship of Numbers in the Place Value System
Correlation and Regression
Example Exercise 3-10 Vertical Analysis Income Statement Balance Sheet
Scatter Plots and Best-Fit Lines
Fitting a Line to Data A large company is expanding its workforce and needs to hire some administrative assistants. The company leadership wants to.
Percent Proportion.
Computing A Variable Mean
Hundred Dollar Questions
EQUATION 4.1 Relationship Between One Dependent and One Independent Variable: Simple Regression Analysis.
Learning Targets Students will be able to: Compare linear, quadratic, and exponential models and given a set of data, decide which type of function models.
Graph Review Skills Needed Identify the relationship in the graph
Hundred Dollar Questions
Exercise 1.1 (Problem Statement)
Objectives Compare linear, quadratic, and exponential models.
Correlation & Trend Lines
Percent Proportion.
Cases. Simple Regression Linear Multiple Regression.
Statistics 101 CORRELATION Section 3.2.
Exercise 1.1 (Problem Statement)
15.7 Curve Fitting.
Presentation transcript:

Exercise 1.1 (Problem Statement) Problem Statement: A bed company is considering hiring an advertising firm to stimulate business. The management consults a research firm to know how much they should spend on advertising to make a profit of about $1 million dollars in the next month. The research firm collects data on the amount of profit (in thousands of dollars) and the amount of advertisement ( in hundreds of dollars) for each of 50 bed companies. Have you read the problem statement and remember main statistical points about it? If necessary read it again and note important statistical points. If finished, click! Think about each questions below and think of the answer. Only after that, click to move to another question.

Exercise 1.1 (Questions and Answers) Question number 1 (Q1): What are the variables? After thinking about the answer, click! Answer to Question number 1 (Ans. 1): amount of profit, amount of advertisement Q2: What levels of measurement are done to the variables? After thinking about the answer, click! Ans. 2: ratio Q3: What is the objective of the study statistically? Ans. 3: Relationship between two variables Q4: What methodology shall the research firm use? Ans. 4: Simple linear regression and correlation analysis Q5: What is the dependent variable and what is the independent variable? Ans. 5: Amount of advertisement is the dependent variable and amount of profit is the independent variable ใ