Unit 2.2 Linear Regression

Slides:



Advertisements
Similar presentations
Objective - To graph linear equations using the slope and y-intercept.
Advertisements

The table and graph suggest another method of graphing a linear equation. This method is based on two numbers. The SLOPE This is the coefficient of x.
A student wonders if tall women tend to date taller men than do short women. She measures herself, her dormitory roommate, and the women in the adjoining.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide INTERPRET SCATTERPLOTS Graph bivariate data. Interpret trends based on scatterplots.
Regression and Correlation
OBJECTIVES 2-2 LINEAR REGRESSION
The line that most closely approximates the data in a scatter plot.
~adapted from Walch Education A scatter plot that can be estimated with a linear function will look approximately like a line. A line through two points.
Topic 2: Linear Equations and Regression
A student wonders if tall women tend to date taller men than do short women. She measures herself, her dormitory roommate, and the women in the adjoining.
CHAPTER 1 RELATIONS AND LINEAR FUNCTIONS. Cartesian Coordinate Plane.
Holt Algebra Curve Fitting with Linear Models 2-7 Curve Fitting with Linear Models Holt Algebra 2 Lesson Presentation Lesson Presentation.
Do Now 12/3/09 Take out HW from last night. -Text p. 328, #3-6, 8-12 evens, 16 & 17 (4 graphs) Copy HW in planner. - Text p. 338, #4-14 evens, 18 & 20.
Introduction to regression 3D. Interpretation, interpolation, and extrapolation.
Transformations.  Although linear regression might produce a ‘good’ fit (high r value) to a set of data, the data set may still be non-linear. To remove.
Scatter Plots and Trend Lines
Section 2.6 – Draw Scatter Plots and Best Fitting Lines A scatterplot is a graph of a set of data pairs (x, y). If y tends to increase as x increases,
* SCATTER PLOT – GRAPH WITH MANY ORDERS PAIRS * LINE OF BEST FIT – LINE DRAWN THROUGH DATA THAT BEST REPRESENTS IT.
Warm-Up Write the equation of each line. A B (1,2) and (-3, 7)
Financial Statistics Unit 2: Modeling a Business Chapter 2.2: Linear Regression.
Scatter Plots, Correlation and Linear Regression.
7-3 Line of Best Fit Objectives
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide LINEAR REGRESSION Be able to fit a regression line to a scatterplot. Find and.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide INTERPRET SCATTERPLOTS Graph bivariate data. Interpret trends based on scatterplots.
Scatterplots and Linear Regressions Unit 8. Warm – up!! As you walk in, please pick up your calculator and begin working on your warm – up! 1. Look at.
Unit 4 Lesson 3 (5.3) Summarizing Bivariate Data 5.3: LSRL.
MAT 150 Module 2 – Linear Functions Lesson 2 – Graphing Linear Functions.
 This lesson covers two methods for finding an equation for a line that roughly models a set of data.  The first way is to eyeball a possible line,
STATISTICS: USING SCATTER PLOTS CHAPTER 2 LESSON 5.
Correlation & Linear Regression Using a TI-Nspire.
Slide 7- 1 Copyright © 2012 Pearson Education, Inc.
2 MODELING A BUSINESS 2-1 Interpret Scatterplots 2-2 Linear Regression
A student wonders if tall women tend to date taller men than do short women. She measures herself, her dormitory roommate, and the women in the adjoining.
Line of Best Fit.
Lesson 4.5 Topic/ Objective: To use residuals to determine how well lines of fit model data. To use linear regression to find lines of best fit. To distinguish.
Unit 4 LSRL.
LSRL.
Entry Task What is the slope of the following lines? 1) 2y = 8x - 70
Least Squares Regression Line.
Entry Task Graph the line: y = 2x - 3.
Objectives Fit scatter plot data using linear models with and without technology. Use linear models to make predictions.
Chindamanee School English Program
Regression and Correlation
2.1a Polynomial Functions Linear Functions Linear Correlation/Modeling
Lines of Best Fit When data show a correlation, you can estimate and draw a line of best fit that approximates a trend for a set of data and use it to.
Chapter 5 LSRL.
Writing Equations From Graphs
Chapter 3.2 LSRL.
2-1 INTERPRET SCATTERPLOTS
5.7 Scatter Plots and Line of Best Fit
Fitting Linear Functions to Data
Investigating Relationships
Lesson 5.3 How do you write linear equations in point-slope form?
Graphing Linear Equations
Least Squares Regression Line LSRL Chapter 7-continued
Quick Graphs of Linear Equations
Scatter Plots and Best-Fit Lines
Lesson 5.7 Predict with Linear Models The Zeros of a Function
Find the line of best fit.
Chapter 5 LSRL.
Chapter 5 LSRL.
Lesson 4.4 Objective: To graph a line on a coordinate plane only using the slope and the y-intercept. Essential Question: How can I graph an equation without.
y = mx + b Linear Regression line of best fit REMEMBER:
Objectives Vocabulary
Scatterplots line of best fit trend line interpolation extrapolation
Lesson 2.2 Linear Regression.
4-1 Slope Intercept Form Goal:
Linear Models We will determine and use linear models, and use correlation coefficients.
Check Homework.
Presentation transcript:

Unit 2.2 Linear Regression “If you’re not the lead dog the view’s the same.” -Coach Ivey What does this quote mean?

Unit 2.2 Linear Regression

Unit 2.2 Linear Regression Line of Best Fit A line that best approximates ALL the data in a scatterplot

Unit 2.2 Linear Regression Domain Range x values y values

Unit 2.2 Linear Regression Interpolation Extrapolation To predict y-values from given x-values To predict y-values outside the given set of bivariate data

Unit 2.2 Linear Regression Correlation Coefficient “r” A number between -1 & 1 used to indicate how close data is to a line of best fit -1 < r < 1

Unit 2.2 Linear Regression Strong Correlation r > 0.7 r < -0.7 Weak Correlation r < 0.3 r > -0.3

Unit 2.2 Linear Regression Steps to find Linear Regression of Data Points Step 1: Plot the data on a Coordinate Plane Step 2: Draw a “Line of Best Fit” through your data. Step 3: Use 2 of the best fitting data points to determine your slope Step 4: Use a 3rd different data point near your best fit line to determine y-intercept

Example 1 Find the equation of the linear regression line for Rachael’s scatterplot in Example 1 from Lesson 2-1. Round the slope and y-intercept to the nearest hundredth. The points are given below. (65, 102), (71, 133), (79, 144), (80, 161), (86, 191), (86, 207), (91, 235), (95, 237), (100, 243)

Unit 2.2 Linear Regression Step 1 Step 1: Plot the data on a Coordinate Plane *Make sure you use a proper x-y scale The more accurate your plot the more accurate your linear equation

Unit 2.2 Linear Regression Step 2 Step 2: Draw a “Line of Best Fit” through your data. You have to “eyeball” this and try to get the same # of data points on each side of your Line of Best Fit

Unit 2.2 Linear Regression Step 3 Step 3: Use 2 of the best fitting data points to determine your slope Slope = Rise = y = (y2 – y1) = m Run x (x2 – x1) Linear Equation is … y = mx + b where m = slope

Unit 2.2 Linear Regression Step 4 Now that you have slope … Step 4: Use a 3rd different data point near your best fit line to determine y-intercept y = mx + b if you know m all you need is one point to find b

CHECK YOUR UNDERSTANDING Find the equation of the linear regression line of the scatterplot defined by these points: (1, 56), (2, 45), (4, 20), (3, 30), and (5, 9). Round the slope and y-intercept to the nearest hundredth.

Example 2 Interpret the slope as a rate for Rachael’s linear regression line. Use the equation from Example 1.

CHECK YOUR UNDERSTANDING Approximately how many more water bottles will Rachael sell if the temperature increases 2 degrees?

EXAMPLE 3 Rachael is stocking her concession stand for a day in which the temperature is expected to reach 106 degrees Fahrenheit. How many water bottles should she pack?

CHECK YOUR UNDERSTANDING How many water bottles should Rachael pack if the temperature forecasted were 83 degrees? Is this an example of interpolation or extrapolation? Round to the nearest integer.

EXAMPLE 4 Find the correlation coefficient to the nearest hundredth for the linear regression for Rachael’s data. Interpret the correlation coefficient.

CHECK YOUR UNDERSTANDING Find the correlation coefficient to the thousandth for the linear regression for the data in Check Your Understanding for Example 1. Interpret the correlation coefficient.

EXTEND YOUR UNDERSTANDING Carlos entered data into his calculator and found a correlation coefficient of -0.28. Interpret this correlation coefficient.

Example 1 Find the equation of the linear regression line for Rachael’s scatterplot in Example 1 from Lesson 2-1. Round the slope and y-intercept to the nearest hundredth. The points are given below. (65, 102), (71, 133), (79, 144), (80, 161), (86, 191), (86, 207), (91, 235), (95, 237), (100, 243)

CHECK YOUR UNDERSTANDING Find the equation of the linear regression line of the scatterplot defined by these points: (1, 56), (2, 45), (4, 20), (3, 30), and (5, 9). Round the slope and y-intercept to the nearest hundredth.

Example 2 Interpret the slope as a rate for Rachael’s linear regression line. Use the equation from Example 1.

CHECK YOUR UNDERSTANDING Approximately how many more water bottles will Rachael sell if the temperature increases 2 degrees?

EXAMPLE 3 Rachael is stocking her concession stand for a day in which the temperature is expected to reach 106 degrees Fahrenheit. How many water bottles should she pack?

CHECK YOUR UNDERSTANDING How many water bottles should Rachael pack if the temperature forecasted were 83 degrees? Is this an example of interpolation or extrapolation? Round to the nearest integer.

EXAMPLE 4 Find the correlation coefficient to the nearest hundredth for the linear regression for Rachael’s data. Interpret the correlation coefficient.

CHECK YOUR UNDERSTANDING Find the correlation coefficient to the thousandth for the linear regression for the data in Check Your Understanding for Example 1. Interpret the correlation coefficient.

EXTEND YOUR UNDERSTANDING Carlos entered data into his calculator and found a correlation coefficient of -0.28. Interpret this correlation coefficient.