Outline Class Intros – What are your goals? – What types of problems? datasets? Overview of Course Example Research Project.

Slides:



Advertisements
Similar presentations
PRE-SCHOOL QUANT WORKSHOP II R THROUGH EXCEL. NEW YORK TIMES INFOGRAPHICS GALARY The Jobless Rate for People Like You Home Prices in Selected Cities For.
Advertisements

Topic 12: Multiple Linear Regression
Chapter 3 – Data Exploration and Dimension Reduction © Galit Shmueli and Peter Bruce 2008 Data Mining for Business Intelligence Shmueli, Patel & Bruce.
LECTURE 3 Introduction to Linear Regression and Correlation Analysis
Multivariate distributions. The Normal distribution.
Chapter 13 Introduction to Linear Regression and Correlation Analysis
Logical Line Fitting: One Step in the EDA Process by Shannon Guerrero Northern Arizona University NCTM 2008 Annual Meeting & Exposition Salt Lake City,
Statistics for Managers Using Microsoft Excel, 5e © 2008 Prentice-Hall, Inc.Chap 13-1 Statistics for Managers Using Microsoft® Excel 5th Edition Chapter.
Correlation MARE 250 Dr. Jason Turner.
Lecture 6 Notes Note: I will homework 2 tonight. It will be due next Thursday. The Multiple Linear Regression model (Chapter 4.1) Inferences from.
Chapter Topics Types of Regression Models
Linear Regression and Correlation Analysis
Stat 512 – Lecture 17 Inference for Regression (9.5, 9.6)
Lecture 16 – Thurs, Oct. 30 Inference for Regression (Sections ): –Hypothesis Tests and Confidence Intervals for Intercept and Slope –Confidence.
Linear Regression Example Data
Chapter 14 Introduction to Linear Regression and Correlation Analysis
Regression and Correlation Methods Judy Zhong Ph.D.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 12-1 Chapter 12 Simple Linear Regression Statistics for Managers Using.
Project Categories and Questions How to improve [Financial Metric]? Business Science What Determines Height? Government Sports How are School Districts.
Correlation and Covariance. Overview Continuous Categorical Histogram Scatter Boxplot Predictor Variable (X-Axis) Height Outcome, Dependent Variable (Y-Axis)
Correlation and Covariance
The Original and Current Basic R “Console” command line interface….
Marginal and Conditional distributions. Theorem: (Marginal distributions for the Multivariate Normal distribution) have p-variate Normal distribution.
Chapter 3: Variability Mean Sometimes Not Sufficient Frequency Distributions Normal Distribution Standard Deviation.
Chap 12-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 12 Introduction to Linear.
Applied Quantitative Analysis and Practices LECTURE#22 By Dr. Osman Sadiq Paracha.
Outline Class Intros Overview of Course & Series Example Research Projects Beginning R.
EQT 373 Chapter 3 Simple Linear Regression. EQT 373 Learning Objectives In this chapter, you learn: How to use regression analysis to predict the value.
Applied Quantitative Analysis and Practices LECTURE#23 By Dr. Osman Sadiq Paracha.
Data Mining Manufacturing Data Dave E. Stevens Eastman Chemical Company Kingsport, TN.
When trying to explain some of the patterns you have observed in your species and community data, it sometimes helps to have a look at relationships between.
Correlation and Regression Chapter 9. § 9.3 Measures of Regression and Prediction Intervals.
A Few Handful Many Time Stamps One Time Snapshot Many Time Series Number of Variables Mobile Phone Galton Height Census Titanic Survivors Stock Market.
Outline Class Intros Overview of Course Example Research Project.
Inference for Regression Chapter 14. Linear Regression We can use least squares regression to estimate the linear relationship between two quantitative.
Week 7Review SessionSlide #1 Review Regression Model Assumptions Calculus –Derivation, critical points (Excel, plots, etc.) –Deriving OLS estimators (b.
Lecture 10: Correlation and Regression Model.
 For each given scatter diagram, determine whether there is a relationship between the variables. STAND UP!!!
Applied Quantitative Analysis and Practices LECTURE#25 By Dr. Osman Sadiq Paracha.
Correlation & Regression
1 Prof. Indrajit Mukherjee, School of Management, IIT Bombay Supplies the data to confirm a hypothesis that two variables are related Provides both a visual.
Where to Get Data? Run an Experiment Use Existing Data.
Chapter 12 Simple Linear Regression.
Main Themes Few vs. Many Variables Linear vs. Non-Linear Statistics vs. Machine Learning.
The Science of Physics Mathematics. What We Want to Know… How do tables and graphs help understand data? How can we use graphs to understand the relationship.
Method 3: Least squares regression. Another method for finding the equation of a straight line which is fitted to data is known as the method of least-squares.
Biostatistics Regression and Correlation Methods Class #10 April 4, 2000.
Predicting Energy Consumption in Buildings using Multiple Linear Regression Introduction Linear regression is used to model energy consumption in buildings.
Core Focus on Ratios, Rates & Statistics
Inferential Statistics Using Excel
Chapter 14 Introduction to Multiple Regression
Warm Up Scatter Plot Activity.
CORRELATION.
LEAST – SQUARES REGRESSION
Simple Linear Regression
Simple Linear Regression
Regression Analysis Week 4.
CHAPTER 29: Multiple Regression*
Today’s Beginner Workshop
Warm Up Please sit down and clear your desk. Do not talk. You will have until lunch to finish your quiz.
STA 282 – Regression Analysis
EQ: How well does the line fit the data?
3 4 Chapter Describing the Relation between Two Variables
Data Characterization
Adequacy of Linear Regression Models
Checking the data and assumptions before the final analysis.
Descriptive Stat and Correlation
Regression and Correlation of Data
CORRELATION & REGRESSION compiled by Dr Kunal Pathak
Presentation transcript:

Outline Class Intros – What are your goals? – What types of problems? datasets? Overview of Course Example Research Project

Breadth vs. Depth vs. Relevancy Class Project

Are height and weight related?

Can we put a person on Mars by 2025?

What determines housing prices? Location Square Feet Crime

Number of Variables Analyzed Number of Observations Week

Predictive Analytics Data Analysis SoftwareStatistics Data Mining

Data Visualization - Mathematics Mean Standard Deviation Correlation

Temperature Variation Across Cities in 2011 San Francisco Boston Austin San Diego Tampa Bay

Normal Distribution Distribution of Height Normal Distribution

Outliers Identify Remove?

Correlation To what degree are two variables related?

Excel Pivot Table

Excel Analysis Pak

Write Code/ Program -Input Data -Analyze -Graphics Datasets, etc. Enter Commands View Results R / R-Studio

Currently, how many R Packages? At the command line enter:  dim(available.packages())  available.packages()

Correlation Matrix

Multivariate Regression Y X’s Height Y X4 X3 X2X1