Using the Calculator to Graph Scatter Plots. Everything we just learned about Scatter Plots we will now do with the calculator. Plot points Plot points.

Slides:



Advertisements
Similar presentations
Graphing the Line of Best Fit Sensei By: Gene Thompson, PHS Edited: John Boehringer, PHS.
Advertisements

1.5 Scatter Plots and Least Squares Lines
Using TI graphing calculators
T-6 Five Number Summary. Five Number Summary Includes: Minimum: the lowest value in the data set Lower Quartile (Q1): the 25 th percentile Median: the.
Scatter Plots with Your calculator Section 4-6. Page 636#10.
4.4 – Graphing Sine and Cosine Functions APPLICATIONS.
Example 3 Earnings and Gender Chapter 2.2 The table shows the earnings of year- round full-time workers by gender and educational attainment. a.Let x represent.
EOC Review Line of Best Fit
Back to last slideMain Menu Graphing, Max/Min, and Solving By Mrs. Sexton Calculator Tips.
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.
Objectives: 1. To identify quadratic functions and graphs 2. To model data with quadratic functions.
5-7 Scatter Plots. _______________ plots are graphs that relate two different sets of data by displaying them as ordered pairs. Usually scatter plots.
Setting Up Clear any equations or lists from your calculator to start! Clear any equations or lists from your calculator to start! ~From the Y= list ~From.
2-5 Using Linear Models Make predictions by writing linear equations that model real-world data.
5.6.1 Scatter Plots and Equations of Lines. Remember our Stroop test? During the stroop test we used the tool called scatter plot A scatter plot is a.
Using the TI-83+ Creating Graphs with Data. Preparing to Graph  Once the calculator is on and you have entered data into your lists, press the “Y=“ button.
10/18/2015 V. J. Motto 1 Chapter 1: Models V. J. Motto MAT 112 Short Course in Calculus Data Sets and the “STAT” Function.
1 Using the CBL and the TI-83 To Find The Mathematical Relationship Between The Intensity of a Light Source And the Distance From the Source 20 July 2L+3.
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.
T-4 Entering Data, Setting a Window, and Histograms Calculator Steps and Instructions.
Draw Scatter Plots and Best-Fitting Lines Section 2.6.
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”
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.
Section 2-5 Continued Scatter Plots And Correlation.
Linear Models YearPopulation (millions) Create a scatterplot of the population for North Carolina.
Chapter 4.1: Scatter Plots. Lesson 4.1: Scatter Plots.
1 Scatter Plots on the Graphing Calculator. 12/16/ Setting Up Press the Y= key. Be sure there are no equations entered. If there are any equations,
1 Scatter Plots on the Graphing Calculator. 12/16/ Setting Up Press the Y= key. Be sure there are no equations entered. If there are any equations,
Example 2 Starbucks Stores Chapter 3.4 The table gives the number of Starbucks stores in the United States for the years 1992 through a.Create a.
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.
Sec. 2-4: Using Linear Models. Scatter Plots 1.Dependent Variable: The variable whose value DEPENDS on another’s value. (y) 2.Independent Variable: The.
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.
USING THE CALCULATOR 3.2 Residuals and the Least-Squares Regression Line.
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.
Regression on the Calculator Hit the “STAT” button and then select edit Enter the data into the lists. The independent data goes in L 1 and the dependent.
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.
Example 7 U.S. Executions Chapter 1.2 The table gives the number of executions in the United States for selected years from 1984 to (Source: “The.
Entry Task Write the equation in slope intercept form and find the x and y intercepts. 1. 4x + 6y = 12.
Regression and Median Fit Lines
1.5 Linear Models Warm-up Page 41 #53 How are linear models created to represent real-world situations?
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.
Linear Regression A step-by-step tutorial… Copyright © 2007 College of the Redwoods First edition by Aeron Ives.
Making Histograms with the TI-83 Plus Procedure Reference:
Section 1.3 Scatter Plots and Correlation.  Graph a scatter plot and identify the data correlation.  Use a graphing calculator to find the correlation.
Scatter Plots & Lines of Best Fit To graph and interpret pts on a scatter plot To draw & write equations of best fit lines.
Scatter Plots on the TI-73 This Power Point is to help guide someone through the following: 1.Create a scatter plot using lists 2.Find the equation for.
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-
Over Lesson 4–5 5-Minute Check 1 A.positive B.negative C.no correlation The table shows the average weight for given heights. Does the data have a positive.
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.
Line of Best Fit The line of best fit is the line that lies as close as possible to all the data points. Linear regression is a method for finding the.
Calculations with Lists
5.7 Scatter Plots and Line of Best Fit
Using linear regression features on graphing calculators.
2.5 Scatterplots and Lines of Regression
* Graphing * Max/Min * solving
Journal Heidi asked 4 people their height and shoe size. Below are the results. 63 inches inches inches inches 8 She concluded that.
TI-84 Data Fitting Tutorial Prepared for Math Link Participants By Tony Peressini and Rick Meyer Modified for TI-84 / TI-84 Plus by Tom Anderson, Feb.
Scatter Plots on the Graphing Calculator
Sine Waves Part II: Data Analysis.
Sine Waves Part II: Data Analysis.
Scatter Plots on the Graphing Calculator
LEARNING GOALS FOR LESSON 2.7
Analyzing Experimental Data The Straight Line D as a function of T
Analyzing Experimental Data Created for CVCA Physics
Scatter Plots That was easy Year # of Applications
Presentation transcript:

Using the Calculator to Graph Scatter Plots

Everything we just learned about Scatter Plots we will now do with the calculator. Plot points Plot points Find a line of best fit Find a line of best fit Write the equation of the line Write the equation of the line

Entering in Data to your Calculator Press the STAT key Press the STAT key Select menu item 1 “Edit” Select menu item 1 “Edit” Enter x values into L1 Enter x values into L1 Enter y values into L2 Enter y values into L2 Shoe size Height (in)

Set up the scatter plot Press 2 nd  STAT PLOT (located above the Y= button) Press 2 nd  STAT PLOT (located above the Y= button) Select Plot1 by pressing “ENTER” Select Plot1 by pressing “ENTER” Make sure that the “ON” is selected. Make sure that the “ON” is selected. Type should be the first option, the scatter plot. Type should be the first option, the scatter plot. Also make sure that you screen says… Also make sure that you screen says…  Xlist : L1  Ylist : L2

Setting a window for your data Press window Press window Set your x-min a little smaller than your smallest values in L1 Set your x-min a little smaller than your smallest values in L1 Set your x-max a little bigger than your biggest values in L1 Set your x-max a little bigger than your biggest values in L1 Set your y-min a little smaller than your smallest values in L2 Set your y-min a little smaller than your smallest values in L2 Set your y-max a little bigger than your biggest values in L2 Set your y-max a little bigger than your biggest values in L2

Graph Press the “GRAPH” button to see your scatter plot. Press the “GRAPH” button to see your scatter plot.

Line of Best Fit Press the “STAT” button Press the “STAT” button Cursor over to CALC Cursor over to CALC Select option 4:LinReg(ax+b) Select option 4:LinReg(ax+b) As long as our x values are in L1 and our y values are in L2 all we have to do is hit enter. As long as our x values are in L1 and our y values are in L2 all we have to do is hit enter. This returns values for a, b, r, and r 2 make sure you write these down. This returns values for a, b, r, and r 2 make sure you write these down.

What is r? r is called the “Correlation Coefficient” r is called the “Correlation Coefficient” r tells us how good of a line it is. r tells us how good of a line it is. If the r value is close to 1 or -1 the data is closely correlated and the line fits the data well. If the r value is close to 1 or -1 the data is closely correlated and the line fits the data well. An r value close to 0 means that the two sets of data don’t have a very linear relationship and the line is a lousy predictor of the behavior of the data. An r value close to 0 means that the two sets of data don’t have a very linear relationship and the line is a lousy predictor of the behavior of the data.

Draw the line of best fit Write down the equation y=ax+b using the a and b from the previous step. Write down the equation y=ax+b using the a and b from the previous step. Press the “Y=“ button Press the “Y=“ button Enter the equation into Y1 and press graph. Enter the equation into Y1 and press graph.