1 PRECALCULUS I Dr. Claude S. Moore Danville Community College Mathematical Modeling Direct, inverse, joint variations; Least squares regression.
Part 12: Linear Regression 12-1/27 Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of Economics.
Regression with Autocorrelated Errors U.S. Wine Consumption and Adult Population – 1934-2002.
Bivariate EDA and regression analysis. length width.
CHAPTER 3 Describing Relationships 3.2 Least-Squares Regression.
Sullivan – Statistics: Informed Decisions Using Data – 2 nd Edition – Chapter 4 Introduction – Slide 1 of 3 Chapter 4 Describing the Relation Between Two.
Data mining and statistical learning, lecture 5 Outline Summary of regressions on correlated inputs Ridge regression PCR (principal components regression)
+ Chapter 3 Describing Relationships 3.1Scatterplots and Correlation 3.2Least-Squares Regression.
Simple Linear Regression Least squares line Interpreting coefficients Prediction Cautions The formal model Section 2.6, 9.1, 9.2 Professor Kari Lock Morgan.
IB Math Studies – Topic 6 Daniela and Megan. IB Course Guide Description.
