PPT-SWBAT: Calculate and interpret the residual plot for a line of regression

Do Now Do heavier cars really use more gasoline In the following data set x is the weight of some randomly selected cars in hundreds of pounds and y is the gas mileage in mpg for that car This data set comes from . John. Loucks. St. . Edward’s. University. Chapter 14, Part B. Simple Linear Regression. Using the Estimated Regression Equation. for Estimation and Prediction. Residual Analysis: Validating Model Assumptions. . .. . BY. John Loucks. St. . Edward’s. University. .. .. .. .. .. .. .. .. .. .. .. Chapter . 12, . Part B. Simple Linear Regression. Using the Estimated Regression Equation. for Estimation and Prediction. A Line of Best Fit. An Example. A study was conducted on 20 drivers to determine the relationship between the drivers’ speed and the braking distance at the sight of an obstacle. The following results were recorded from a sample of 20 drivers. Linear Regression. Section 3.2. Reference Text:. The Practice of Statistics. , Fourth Edition.. Starnes, Yates, Moore. Warm up/ quiz . Draw a quick sketch of three scatterplots:. Draw a plot with r . Chapter 3 – Exploring Data. Day 3. Regression Line. A straight line that describes how a . _________ . variable, . __. ,. . changes as an . ___________ variable. , . ___. ,. . changes. used to . __________ . 1. Drawing the reg. line.. 2. Making predictions.. 3. Interpreting b and r.. 4. RMS residual.. 5. r. 2. .. 6. Residual plots.. Final exam is Thur, 6/7, in class. . Hw7 is due Tue, 6/5, and is from the handout, which is from “An Introduction to the Practice of Statistics” 3. 1. Correlation indicates the magnitude and direction of the linear relationship between two variables. . Linear Regression: variable Y . (criterion) . is predicted by variable X . (predictor) . using a linear equation.. Anderson, Sweeney, Williams, . Camm. , Cochran. © 2017 Cengage Learning. Slides by John . Loucks. St. Edwards University. Chapter . 14, . Part B. Simple . Linear Regression. Using the Estimated Regression . Do Now. : What forensic evidence can be determined from hair? . Hair is the most frequently found piece of trace evidence.. What is trace evidence?. Objective. : SWBAT identify forensic evidence found in hair samples. . for . a population proportion.. Do Now:. A confidence interval is centered around a:. I. Parameter. II. Statistic. III. Measure of Variance.. (A) I only (D) I and II only. Take out: . HW. Packet. Quiz from . fri. . SWBAT: Solving quadratics by completing the square . -8. -8. 2(x-2). 2. = -12. 2. 2. (x-2). 2. = -6.  . x-2 = ±. i.  . +2. +2. x = 2 ± . i.  . SWBAT: Solving quadratics by completing the square . i. , perform operations on complex numbers, graph complex numbers on the appropriate axis. SWBAT: simplify powers of . i. , perform operations on complex numbers, graph complex numbers on the appropriate axis. Created by Kathy Fritz. Forensic scientists must often estimate the age of an unidentified crime victim. Prior to 2010, this was usually done by analyzing teeth and bones, and the resulting estimates were not very reliable. A study described in the paper “Estimating Human Age from T-Cell DNA Rearrangements” (Current Biology [2010]) examined the. . Lecture compiled by. Dr. . Parminder. . Kaur. Assistant Professor. Department of Commerce. For . B.Com. (. Prog. ) II . Sem. . Sec A. SIMPLE . LINEAR . REGRESSION. DEFINITION OF . REGRESSION .