No = 1= 4 = 6 = Undefined.  Students will learn: ◦ To explore Line of Best fit in a real world setting and use the Line of Best fit to make predictions.

Slides:



Advertisements
Similar presentations
R Squared. r = r = -.79 y = x y = x if x = 15, y = ? y = (15) y = if x = 6, y = ? y = (6)
Advertisements

Teaching note: after Bell Ringer Start with video: Lesson 1-2, part 1 Lesson Tutorial Video (blue); -tell students when watching video: just listen, we.
Teresa Dinh, Gianna Fazio, Amanda Groff
10.1 Scatter Plots and Trend Lines
Least Squares Regression Line (LSRL)
Motion Prac 3 Inclined Plane Velocity-Time Data Analysis & Report Print out the prac pages from the wiki and then answer the questions using the following.
Line of Best Fit. Age (months) Height (inches) Work with your group to make.
Warm-up with Multiple Choice Practice on 3.1 to 3.3
Topic 2: Linear Equations and Regression
 Once data is collected and organized, we need to analyze the strength of the relationship and formalize it with an equation  By understanding the strength.
5.7 SCATTER PLOTS AND TREND LINES:
Scatterplots October 14, Warm-Up Given the following domain and range in set notation, write the equivalent domain and range in algebraic notation.
Warm-up: List the four types of slope and draw a graph for each. **You need your Calculator today!!! Positive Negative Zero Undefined October 4 th, 2011.
Scatter Diagrams Joan Ridgway. When do we use scatter diagrams? When we look at data, we may want to investigate the relationship between two variables.
New Seats – Block 1. New Seats – Block 2 Warm-up with Scatterplot Notes 1) 2) 3) 4) 5)
1. Graph 4x – 5y = -20 What is the x-intercept? What is the y-intercept? 2. Graph y = -3x Graph x = -4.
Correlation and Prediction Error The amount of prediction error is associated with the strength of the correlation between X and Y.
Correlation Correlation is used to measure strength of the relationship between two variables.
Sec 1.5 Scatter Plots and Least Squares Lines Come in & plot your height (x-axis) and shoe size (y-axis) on the graph. Add your coordinate point to the.
Take out homework and a pencil to prepare for the homework quiz! Check the file folder for your class to pick up graded work.
Objective: Understanding and using linear regression Answer the following questions: (c) If one house is larger in size than another, do you think it affects.
Draw Scatter Plots and Best-Fitting Lines Section 2.6.
Quick Start Expectations 1.CMP3 book? 2.Fill in planner and HWRS HW: p. 45, #1-3, #35 (ACE worksheet) 3.Get a signature on HWRS 4.On desk: calculator,
Fitting Models to Data Nancy Norem Powell. Math Modeling A basic premise of science is that much of the physical world can be described mathematically.
Functions, Equations, and Graphs Ch. 2.5 Using Linear Models EQ: How can I write linear equations that model real-world data? I will write linear equations.
Graphing with Computers Pressure and Density. What is Pressure? Pressure = Force = lbs area in 2 Let me propose the following experiment.
Correlation and Regression: The Need to Knows Correlation is a statistical technique: tells you if scores on variable X are related to scores on variable.
Section 6 – 1 Rate of Change and Slope Rate of change = change in the dependent variable change in the independent variable Ex1. Susie was 48’’ tall at.
Correlation The apparent relation between two variables.
Scatter Plots, Correlation and Linear Regression.
Quick Start Expectations 1.Fill in planner and HWRS HW: p.100, #6-8, 19, 20, 25 2.Get a signature on HWRS 3.On desk: calculator, journal, HWRS, pencil,
2.5 Using Linear Models A scatter plot is a graph that relates two sets of data by plotting the data as ordered pairs. You can use a scatter plot to determine.
SECTIONS B Chapter 2. Objectives To draw scatter plots. To find and use prediction equations. Using a graphing calculator to graph lines of regression.
Quick Start Expectations 1.Fill in planner and HWRS HW: p. 98, #4-5, Get a signature on HWRS 3.On desk: calculator, journal, HWRS, pencil, pen.
Linear Prediction Correlation can be used to make predictions – Values on X can be used to predict values on Y – Stronger relationships between X and Y.
Yes no = -9= 0 = -4 = -5/6.  Students will learn: ◦ To write an equation for a line of best fit and use it to make predictions. The trend line that.
LEAST-SQUARES REGRESSION 3.2 Role of s and r 2 in Regression.
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.
Materials needed: journal, pencil, calculator and homework.
Scatter Plots and Best- Fitting Lines By Tristen Billerbeck.
Wednesday: Need a graphing calculator today. Need a graphing calculator today.
Scatter Plots & Lines of Best Fit To graph and interpret pts on a scatter plot To draw & write equations of best fit lines.
Exit Slip Questions Use the next slides. Record all answers to the questions on a sheet of paper to be turned in.
Yes no = -9= 0 = -4 = -5/6.  Students will learn: ◦ To write an equation for a line of best fit and use it to make predictions. The trend line that.
Section 11.1: Solving Linear Systems by Graphing
Warm-up Get a sheet of computer paper/construction paper from the front of the room, and create your very own paper airplane. Try to create planes with.
Age Game Updated July 2016.
Residuals Algebra.
Welcome to . Week 12 Thurs . MAT135 Statistics.
Aim: How do we fit a regression line on a scatter plot?
Lines of Best Fit #1 When data show a correlation, you can estimate and draw ____________________ that approximates a trend for a set of data and use it.
Algebra II Explorations Review ( )
Objectives Fit scatter plot data using linear models with and without technology. Use linear models to make predictions.
S519: Evaluation of Information Systems
Scatter Plots and Equations of Lines
Investigating Relationships
2-5 Using linear models.
Algebra 1 Section 6.6.
EQ: How well does the line fit the data?
Section 10.2: Fitting a Linear Model to Data
R Squared.
Interpreting Rate of Change and Slope
Open Crunchit! at the usual place… (bcs.whfreeman.com/crunchit/ips5e)
How good of guesser ARE YOU?????
Random Rectangles When given the cue turn the paper over. Within 5 seconds make a guess for the average area of the rectangles. When given the cue turn.
Logic Gates Revision Package.
Name:___________________________ Date:______________
Tuesday September 30-Friday October 3
Draw Scatter Plots and Best-Fitting Lines
Presentation transcript:

no = 1= 4 = 6 = Undefined

 Students will learn: ◦ To explore Line of Best fit in a real world setting and use the Line of Best fit to make predictions. The trend line that shows the relationship between two sets of data most accurately is called the LINE OF BEST FIT. The graphing calculator also gives you the CORRELATION COEFFICIENT r, which tells you how closely the equation models the data.

Are you a good judge of age?

Instructions  Take a look at the following celebrities.  Guess the current age (as of 2013) of each celebrity, write this number in the Guessed Age Column on your sheet.  After you have made all guesses, write down the actual ages of the celebrities in the Actual Age Column  Write a sentence describing yourself as a guesser.  Were there any factors that influenced your guess? DO NOT WRITE ON THE BACK OF YOUR PAPER!!!

ANSWERS ON NEXT SLIDES: Don’t peek until after you have made guesses.

GIRLSHeight (in) Shoe Size BOYSHeight (in)Shoe Size

 What is the line of best fit for the females?  If a new female student came in that was 60 inches tall, what could we estimate her shoe size to be?  If a new female student came in that was 5’3”, what could we estimate her shoe size to be?  Ms. Stallworth is 5’2. What is her estimated shoe size? ◦ Her real shoe size is 6.5, how far off was the estimate?

 What is the line of best fit for the males?  If a new student came in that was 66 inches tall, what could we estimate his shoe size to be?  If a new student came in that was 6’1”, what could we estimate his shoe size to be?

CW: Ages Activity – to turn in HW: TBD