Journal Heidi asked 4 people their height and shoe size. Below are the results. 63 inches 7.5 69 inches 9 75 inches 11 50 inches 8 She concluded that.

Slides:



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

1.5 Scatter Plots and Least Squares Lines
Section 10-3 Regression.
Ch. 13Inferential Statistics 13.1 Line of Best Fit.
Objectives Fit scatter plot data using linear models with and without technology. Use linear models to make predictions.
EXAMPLE 3 Approximate a best-fitting line Alternative-fueled Vehicles
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.
Researchers, such as anthropologists, are often interested in how two measurements are related. The statistical study of the relationship between variables.
Objective: I can write linear equations that model real world data.
1.Max is a computer salesman. For each day that he works, he receives $50 plus a fixed commission amount per computer. Max is currently earning $122 for.
Section 4.2 Least Squares Regression. Finding Linear Equation that Relates x and y values together Based on Two Points (Algebra) 1.Pick two data points.
SCATTER PLOTS ALGEBRA 1 UNIT 5 WRITING EQUATIONS OF LINES.
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.
2-7 Curve Fitting with Linear Models LESSON PLAN Warm Up (Slide #2)
Scatter Diagrams Objective: Draw and interpret scatter diagrams. Distinguish between linear and nonlinear relations. Use a graphing utility to find the.
2-7 Curve Fitting with Linear Models Warm Up Lesson Presentation
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.
Section 2-5 Continued Scatter Plots And Correlation.
Scatter Plots, Correlation and Linear Regression.
Tables and graphs taken from Glencoe, Advanced Mathematical Concepts.
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.
Line of Best Fit 3.3 A.
When you finish your assessment In 2-3 complete sentences answer each question 1. How is the first unit going for you so far in this class? 2. If you are.
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.
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.
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.
1.) Write an equation for the line containing the following: y-intercept of 6 and has a slope of ¼. 2.) Find the x-intercept and y-intercept of 4x + 2y.
Warm – Up: Put the following correlation values in order from weakest to strongest. 0.29, -0.87, -0.41, 0.03, -0.59, -0.92, , 0.29, -0.41, -0.59,
Splash Screen.
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,
Unit 4 LSRL.
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.
Objectives Fit scatter plot data using linear models with and without technology. Use linear models to make predictions.
Residuals Algebra.
2.5 Scatter Plots & Lines of Regression
Warm-up Positive, Negative, or No Correlation?
Chapter 5 LSRL.
Splash Screen.
Correlations and Lines of Best Fit Scatter Plots
Warm-up Positive, Negative, or No Correlation?
Using the two data sets below: 1) Draw a scatterplot for each.
Lesson 1.7 Linear Models and Scatter Plots
Lesson 5.3 How do you write linear equations in point-slope form?
Section 4.2 How Can We Define the Relationship between two
More Correlation Practice
MATH 1311 Section 3.4.
Scatter Plots and Best-Fit Lines
Linear Scatter Plots S-ID.6, S-ID.7, S-ID.8.
Chapter 5 LSRL.
Scatter Plots and Line of Best Fit
Splash Screen.
Scatter Plots and Least-Squares Lines
Splash Screen.
y = mx + b Linear Regression line of best fit REMEMBER:
MATH 1311 Section 3.4.
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.
Unit 2 Quantitative Interpretation of Correlation
Objectives Vocabulary
Line of Best Fit.
Which graph best describes your excitement for …..
SECTION 6.2 Linear Regression
Section 1.3 Modeling with Linear Functions
System of Equations Graphing methods.
Draw Scatter Plots and Best-Fitting Lines
Warm-Up 4 minutes Graph each point in the same coordinate plane.
Can you use scatter plots and prediction equations?
More Correlation Practice
Unit 5: Linear Functions & Slope Intercept
Presentation transcript:

Journal Heidi asked 4 people their height and shoe size. Below are the results. 63 inches 7.5 69 inches 9 75 inches 11 50 inches 8 She concluded that there was a very strong negative correlation, stating that “For all people in the world, the taller you are the bigger your shoe size”. There are several errors in Heidi’s data, correlation test, and conclusion. Using OEA, comment on where she made errors, and how you know it (show any work, numbers, or formulas needed to support your claim).

Linear Regression

Problem A statistician wants to know if there is a correlation between PSAT math scores and the Math Studies IB exam scores. She collected the following data from 10 randomly selected students. Test Student Selected 1 2 3 4 5 6 7 8 9 10 PSAT 52 65 74 72 53 61 66 75 58 IB

Correlation? Is there a correlation, and if so, what kind is it?

Scatter plot Create a scatter plot

Now for the Line of Best Fit… 1. Plot ( 𝑥 , 𝑦 ).

2. Find the equation of the line By Hand 𝑦 − 𝑦 = 𝑠 𝑥𝑦 𝑠 𝑥 2 (𝑥 − 𝑥) Where: 𝑠 𝑥 2 = 𝑥 2 𝑛 − 𝑥 2 𝑠 𝑥𝑦 = 𝑥𝑦 𝑛 − 𝑥 𝑦

a is slope and b is the y-intercept. Y = .10910x – 1.5515 Get a line a is slope and b is the y-intercept. Y = .10910x – 1.5515

Find another point on the line 3. Plug in any value for x to get a y. Don’t go too close to the mean. Calculator: Y= Plug in formula 2nd Window (Tblset) Put Indpnt to “ask” 2nd Graph (Table) Plug in values for x and get y.

Draw the line 4. Plug in 40 and get 2.815 ≈(40, 2.8) Graph this point Connect the mean and the point.

2. Find the equation of the line Stat- Calc- LinReg- Enter y= ax + b a = .10910 b= -1.5515

Practice Draw a Scatter Plot Find the r-value and interpret it. X 2 1 3 4 5 6 Y 7 Draw a Scatter Plot Find the r-value and interpret it. Write the regression equation in terms of the y = ax + b Find ( 𝑥 , 𝑦 ) Draw the regression line. Predict y given x = 5.5 Predict x given y = 7