SCATTER PLOTS ALGEBRA 1 UNIT 5 WRITING EQUATIONS OF LINES.

Slides:



Advertisements
Similar presentations
1.5 Scatter Plots and Least Squares Lines
Advertisements

5.4 Correlation and Best-Fitting Lines
Objectives Fit scatter plot data using linear models with and without technology. Use linear models to make predictions.
2-7 Curve Fitting with Linear Models Warm Up Lesson Presentation
Linear Functions Wrap Up
EXAMPLE 3 Approximate a best-fitting line Alternative-fueled Vehicles
Circular Motion Linear speed Units are always length per time mph (bike or car speeds) Angular speed rpm (revolutions per minute) Engine speed ALWAYS.
Section 2.6: Draw Scatter Plots & best-Fitting Lines(Linear Regresion)
Plotting coordinates into your TI 84 Plus Calculator.
The Line of Best Fit Linear Regression. Definition - A Line of Best or a trend line is a straight line on a Scatter plot that comes closest to all of.
5-7 Scatter Plots. _______________ plots are graphs that relate two different sets of data by displaying them as ordered pairs. Usually scatter plots.
Correlation and regression lesson 1 Introduction.
Researchers, such as anthropologists, are often interested in how two measurements are related. The statistical study of the relationship between variables.
Introduction A correlation between two events simply means that there is a consistent relationship between two events, and that a change in one event implies.
Objective: I can write linear equations that model real world data.
2-5 Using Linear Models Make predictions by writing linear equations that model real-world data.
Check it out! 4.3.3: Distinguishing Between Correlation and Causation
Advanced Algebra II Notes 3.5 Residuals Residuals: y-value of data point – y-value on the line Example: The manager of Big K Pizza must order supplies.
Warm Up Write the equation of the line passing through each pair of passing points in slope-intercept form. 1. (5, –1), (0, –3) 2. (8, 5), (–8, 7) Use.
Academy Algebra II 4.2: Building Linear Functions From Data HW: p (3-8 all,18 – by hand,20 – calc) Bring your graphing calculator to class on Monday.
Draw Scatter Plots and Best-Fitting Lines Section 2.6.
Scatter Diagrams Objective: Draw and interpret scatter diagrams. Distinguish between linear and nonlinear relations. Use a graphing utility to find the.
1.5 L INEAR M ODELS Objectives: 1. Algebraically fit a linear model. 2. Use a calculator to determine a linear model. 3. Find and interpret the correlation.
Investigating Scatter Plots Scatter plots – show correlations (relationships) between two different pieces of data.  dependent variable (y’s or range)
12/5/2015 V. J. Motto 1 Chapter 1: Linear Models V. J. Motto M110 Modeling with Elementary Functions 1.4 Linear Data Sets and “STAT”
2-7 Curve Fitting with Linear Models Warm Up Lesson Presentation
Line of Best Fit 4.2 A. Goal Understand a scatter plot, and what makes a line a good fit to data.
5.7 Scatter Plots and Line of Best Fit I can write an equation of a line of best fit and use a line of best fit to make predictions.
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.
Objective: To write linear equations that model real-world data. To make predictions from linear models. Bell Ringer: Write 3 ways you used math over your.
Mr. Walter’s Notes on How to Use the Calculator to Find the Equation of a Line when you Know Coordinate Points.
SECTIONS B Chapter 2. Objectives To draw scatter plots. To find and use prediction equations. Using a graphing calculator to graph lines of regression.
2.5 Using Linear Models P Scatter Plot: graph that relates 2 sets of data by plotting the ordered pairs. Correlation: strength of the relationship.
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.
Day 102 – Linear Regression Learning Targets: Students can represent data on a scatter plot, and describe how the variables are related and fit a linear.
Unit 3 Section : Regression Lines on the TI  Step 1: Enter the scatter plot data into L1 and L2  Step 2 : Plot your scatter plot  Remember.
Wednesday Today you need: Whiteboard, Marker, Eraser Calculator 1 page handout.
Scatter Plot A scatter plot is a graph of a collection of ordered pairs (x,y). The ordered pairs are not connected The graph looks like a bunch of dots,
Regression and Median Fit Lines
6.7 Scatter Plots. 6.7 – Scatter Plots Goals / “I can…”  Write an equation for a trend line and use it to make predictions  Write the equation for a.
Welcome to Algebra 2! Get out your homework Get out catalogs Get out writing utensils Put bags on the floor Be quiet!!! 3/2/ : Curve Fitting with.
 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,
October 12, 2011 At the end of today, you will be able to: Draw scatter plots to find and use prediction equations. Warm-up: 1.Write an equation of a line.
Goal: I can fit a linear function for a scatter plot that suggests a linear association. (S-ID.6)
Wednesday: Need a graphing calculator today. Need a graphing calculator today.
UNIT 8 Regression and Correlation. Correlation Correlation describes the relationship between two variables. EX: How much you study verse how well you.
Fitting Lines to Data Points: Modeling Linear Functions Chapter 2 Lesson 2.
The Line of Best Fit CHAPTER 2 LESSON 3  Observed Values- Data collected from sources such as experiments or surveys  Predicted (Expected) Values-
Flashback Use the table that shows the number of goals Pierre scored playing hockey to answer problems 1–3. 1. Using the data from 2001 and 1997,
Objectives Fit scatter plot data using linear models with and without technology. Use linear models to make predictions.
Warm Up Practice 6-5 (p. 78) #13, 15, 16, 18, 22, 25, 26, 27, 31 – 36
2.5 Scatter Plots & Lines of Regression
Graphic display of data
Splash Screen.
Section 2.6: Draw Scatter Plots & best-Fitting Lines(Linear Regresion)
5.7 Scatter Plots and Line of Best Fit
1.3 Modeling with Linear Functions
MATH 1311 Section 4.4.
Journal Heidi asked 4 people their height and shoe size. Below are the results. 63 inches inches inches inches 8 She concluded that.
Warm Up Please sit down and clear your desk. Do not talk. You will have until lunch to finish your quiz.
Scatter Plots and Best-Fit Lines
Graphic display of data
MATH 1311 Section 4.4.
Scatter Plots and Line of Best Fit
Flashback Write an equation for the line that satisfies the given conditions. 1) through: (1, 2), slope = 7 2) through: (4, 2), parallel to y =-3/4.
Which graph best describes your excitement for …..
Section 1.3 Modeling with Linear Functions
Warm-Up 4 minutes Graph each point in the same coordinate plane.
Scatter Plots That was easy Year # of Applications
Presentation transcript:

SCATTER PLOTS ALGEBRA 1 UNIT 5 WRITING EQUATIONS OF LINES

ACTIVITY You are going to measure your hand size and your foot size. You are then going to write your results on the board You are then going to plot these points on a graph like the one to the right.

SCATTER PLOT You have just created a scatter plot of data based on your hand and foot sizes. A scatter plot is a graphical representation of a relationship between a set of data.

CORRELATIONS OF SCATTER PLOTS A correlation is how well a set of data represents or depends on another set of data.

TYPES OF CORRELATIONS What do you notice about the perfect positive correlation and perfect negative correlations? They can be estimated by a linear line!

MODEL THE DATA How could we model the data we got from our activity to determine the length of someone’s foot knowing the length of their hand? We want to create a linear equation to model the data, then we can estimate from that model the lengths of someone’s hand or foot.

HOW DO I MODEL THE DATA? Pencil and paper Graphing calculators Which will be more accurate?

PENCIL AND PAPER Grab a ruler or protractor from the back Draw a line on your graph paper which touches as many points as possible from the data collected in the activity, this is called the line of best fit. Line of best fit is the line which best estimates all the data collected and which will produce the most accurate estimations. Now use two points on your line to create an equation for your line.

PENCIL AND PAPER Use your equation to estimate the foot length of someone with a hand length of 9 inches.

CALCULATOR Grab your assigned graphing calculator from the box. Turn the calculator on Press STAT, then go to EDIT and press ENTER. Two lists should come up; put the data values from the hand length in L1 and the data values from foot length in L2. Once all data values are entered press 2 nd then MODE.

CALCULATOR A blank screen should be displayed. Push STAT again, push the over button to the CALC screen. Once on the CALC screen, go down to 4:LINREG and press ENTER. Press ENTER again for the calculator to run the points and a line should come up on the screen.

CALCULATOR Use your equation to estimate the foot length of someone with a hand length of 9 inches.

CONCLUSIONS How do the pencil and paper versus the calculator estimations compare? Lets test for a value of 6 inches. Which was more accurate?

ERRORS IN DATA Why doesn’t all the data line up in a straight line so we can use a perfect linear model? There are errors in data which can affect the outcome of the equation What are some of these possible errors?

EXAMPLE Gail is training for a 5k. The table shows her times for each month of her training program. Assume that her times will decrease linearly. Predict her running times in August and November. MonthAverage time (minutes) January40 February38 March39 April38 May33 June30

EXAMPLE Baris is testing the burn time of a new candle. The table shows how long it takes to burn candles of different weights. Assume a linear relationship exists. If a candle burns for 95 hours, what is the weight in ounces? Candle weight (oz) Burn Time (mins)

EXAMPLE I am competing for an ice cream eating challenge. The table shows my training schedule each day versus how much ice cream I eat that day. According to the linear regression line of best fit, how many ounces of ice cream should I eat on the 20 th day of my training? DayIce Cream (oz)

QUESTIONS?