12-7 Lines of Best Fit Course 3 Warm Up Warm Up Lesson Presentation Lesson Presentation.

Slides:



Advertisements
Similar presentations
Usually, there is no single line that passes through all the data points, so you try to find the line that best fits the data. This is called the best-fitting.
Advertisements

Lines in the Coordinate Plane
5.7 Graph Linear Inequalities in Two Variables
Course Lines of Best Fit
5.4 Correlation and Best-Fitting Lines
Warm Up Find the slope of the line containing each pair of points.
Warm Up Find each y-intercept. 1. y = 3x x – 3y = 12
Graphing Linear Inequalities in Two Variables
Point-Slope Form 12-4 Warm Up Problem of the Day Lesson Presentation
A4.e How Do I Graph The Solution Set of A Linear Inequality in Two Variables? Course 3 Warm Up Problem of the Day Lesson Presentation.
11-5 Subtracting Integers Warm Up Problem of the Day
Scatter Plots Course 3 Lesson Presentation Lesson Presentation.
Solving Linear Inequalities
Warm Up Problem of the Day Lesson Presentation Lesson Quizzes.
Multiplying and Dividing Integers
Terms: 1. relation – an ordered pair (relationship between x and y) 2. domain – first coordinate of a relation (the “x” value) 3. range – the second.
Scatter Plots The scatter plot shows education and income data.
Holt CA Course Scatter Plots Warm Up Warm Up California Standards California Standards Lesson Presentation Lesson PresentationPreview.
The Pythagorean Theorem
Students will be able to find a linear equation that approximates a set of data points. Warm-Up CD SINGLES The table shows the total number of CD single.
1 Warm Up 1.Solve and graph |x – 4| < 2 2. Solve and graph |2x – 3| > 1 2x – x 4 x – 4 > -2 and x – 4 < x > 2 and x < 6.
1 What you will learn today 1. New vocabulary 2. How to determine if data points are related 3. How to develop a linear regression equation 4. How to graph.
Lesson 2.10 Solving Linear Inequalities in Two Variables Concept: Represent and Solve Systems of Inequalities Graphically EQ: How do I represent the solutions.
Holt Algebra Curve Fitting with Linear Models 2-7 Curve Fitting with Linear Models Holt Algebra 2 Lesson Presentation Lesson Presentation.
Bivariate data are used to explore the relationship between 2 variables. Bivariate Data involves 2 variables. Scatter plots are used to graph bivariate.
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.
3.3 Graphing and Solving Systems of Linear Inequalities.
Lesson 2.11 Solving Systems of Linear Inequalities Concept: Represent and Solve Systems of Inequalities Graphically EQ: How do I represent the solutions.
Graphing Linear Inequalities in Two Variables Objective: Graph all of the solutions to a linear inequality.
Learn to create and interpret scatter plots and find the line of best fit. 5.4 Scatter Plots.
Scatter Plots and Lines of Best Fit 10-6 Warm Up Warm Up Lesson Presentation Lesson Presentation Problem of the Day Problem of the Day Lesson Quizzes Lesson.
Linear Best Fit Models Learn to identify patterns in scatter plots, and informally fit and use a linear model to solve problems and make predictions as.
Pre-Algebra 11-2 Slope of a Line 11-2 Slope of a Line Pre-Algebra Homework & Learning Goal Homework & Learning Goal Lesson Presentation Lesson Presentation.
Graphing Linear Inequalities in Two Variables Lesson 3.6 Core Focus on Linear Equations.
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.
4.4 – SCATTER PLOTS AND LINES OF FIT Today’s learning goal is that students will be able to: interpret scatter plots, identify correlations between data.
8-8 The Pythagorean Theorem Course 2 Warm Up Warm Up Problem of the Day Problem of the Day Lesson Presentation Lesson Presentation.
Slope of a Line 11-2 Warm Up Problem of the Day Lesson Presentation
Warm Up Problem of the Day Lesson Presentation Lesson Quizzes.
Solving Linear Inequalities
Chindamanee School English Program
Warm Up Solve each inequality for y. 1. 8x + y < 6
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.
Graph Inequalities On Coordinate Plane
Lines of Best Fit 12-7 Warm Up Problem of the Day Lesson Presentation
Point-Slope Form 11-4 Warm Up Problem of the Day Lesson Presentation
Graphing Inequalities in Two Variables
Graph Inequalities On Coordinate Plane
2.5 Correlation and Best-Fitting Lines
2.6 Draw Scatter Plots and Best-Fitting Lines
1.3 Modeling with Linear Functions Exploration 1 & 2
Lesson 5.6 Fit a Line to Data
Solving Linear Inequalities
A B 1 (5,2), (8, 8) (3,4), (2, 1) 2 (-2,1), (1, -11) (-2,3), (-3, 2) 3
Solving Linear Inequalities
4 WARM UP GRAPH THE INEQUALITY (Lesson 1.4) x+5<− y > 19
Solutions of Equations and Inequalities
Line of best fit.
Solve Systems of Linear Inequalities
FITTING A LINE TO DATA – –2 –4 –6
Solve and Graph 2x + 3 < 9 2x + 3 = x = x = 3
Warm Up Graph each inequality. 1. x > –5 2. y ≤ 0
Point-Slope Form 12-4 Warm Up Problem of the Day Lesson Presentation
Solving Linear Inequalities
Linear Inequalities in Two Variables 2-5
Lines of Best Fit A line of best fit is a line that comes close to all the points on a scatter plot. Try to draw the line so that about the same number.
Draw Scatter Plots and Best-Fitting Lines
Learning Target Students will be able to: Graph and solve linear inequalities in two variables.
Presentation transcript:

12-7 Lines of Best Fit Course 3 Warm Up Warm Up Lesson Presentation Lesson Presentation

Warm Up Answer the questions about the inequality 5x + 10y > Would you use a solid or dashed boundary line? 2. Would you shade above or below the boundary line? dashed above Course Lines of Best Fit

Learn to recognize relationships in data and find the equation of a line of best fit. Course 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 make predictions. To estimate the equation of a line of best fit: calculate the means of the x-coordinates and y-coordinates: (x m, y m ) draw the line through (x m, y m ) that appears to best fit the data. estimate the coordinates of another point on the line. find the equation of the line. Course Lines of Best Fit

Plot the data and find a line of best fit. Additional Example 1: Finding a Line of Best Fit Plot the data points and find the mean of the x- and y-coordinates. x m = = y m = = x y (x m, y m )= 6, 4 Course Lines of Best Fit

A line of best fit is a line that comes close to all the points on a scatter plot. Try to draw the line so that about the same number of points are above the line as below the line. Remember! Course Lines of Best Fit

Additional Example 1 Continued Draw a line through 6, 4 that best represents the data. Estimate and plot the coordinates of another point on that line, such as (8, 6). Find the equation of the line. 2 3 Course Lines of Best Fit

Find the slope. y – y 1 = m(x – x 1 )Use point-slope form. y – 4 = (x – 6) Substitute. y – 4 = x – y = x The equation of a line of best fit is. 2 3 y = x Additional Example 1 Continued m = = = 6 – 4 8 – Course Lines of Best Fit

Plot the data and find a line of best fit. Check It Out: Example 1 Plot the data points and find the mean of the x- and y-coordinates. x m = = 2 – – y m = = 1 – – x–1026–38 y–1037–74 (x m, y m ) = (2, 1) Course Lines of Best Fit

Check It Out: Example 1 Continued Draw a line through (2, 1) that best represents the data. Estimate and plot the coordinates of another point on that line, such as (10, 10). Find the equation of the line. Course Lines of Best Fit

Find the slope. y – y 1 = m(x – x 1 )Use point-slope form. y – 1 = (x – 2) 9 8 Substitute. y – 1 = x – The equation of a line of best fit is. y = x – Check It Out: Example 1 Continued m = = 10 – 1 10 – y = x – Course Lines of Best Fit

Find a line of best fit for the Main Street Elementary annual softball toss. Use the equation of the line to predict the winning distance in Is it reasonable to make this prediction? Explain. Example 2: Sports Application Let 1990 represent year 0. The first point is then (0, 98), and the last point is (12, 107). x m = = Year Distance (ft) y m = = (x m, y m ) = (5, 103) Course Lines of Best Fit

Additional Example 2 Continued Draw a line through (5, 103) that best represents the data. Estimate and plot the coordinates of another point on that line, such as (10, 107). Find the equation of the line. Course Lines of Best Fit

m = = Find the slope. y – y 1 = m(x – x 1 )Use point-slope form. y – 103 = 0.8(x – 5)Substitute. y – 103 = 0.8x – 4 y = 0.8x + 99 The equation of a line of best fit is y = 0.8x Additional Example 2 Continued Course Lines of Best Fit Since 1990 represents year 0, 2006 represents year 16.

Substitute. y = y = 0.8(16) + 99 The equation predicts a winning distance of about 112 feet for the year A toss of about 112 feet is a reasonable prediction. y = Additional Example 2 Continued Course Lines of Best Fit Add to find the distance.

Predict the winning weight lift in Check It Out: Example 2 Let 1990 represent year 0. The first point is then (0, 100), and the last point is (10, 170). x m = = y m = = Year Lift (lb) (x m, y m ) = (6, 132) Course Lines of Best Fit

Check It Out: Example 2 Continued Draw a line through (5, 132) the best represents the data. Estimate and plot the coordinates of another point on that line, such as (7, 140). Find the equation of the line. Years since 1990 weight (lb) Course Lines of Best Fit

m = = – – 5 Find the slope. y – y 1 = m(x – x 1 )Use point-slope form. y – 132 = 4(x – 5)Substitute. y – 132 = 4x – 20 y = 4x The equation of a line of best fit is y = 4x Since 1990 represents year 0, 2010 represents year 20. Check It Out: Example 2 Continued Course Lines of Best Fit

Substitute and add to find the winning weight lift. y = 192 y = 4(20) The equation predicts a winning weight lift of about 192 lb for the year A weight lift of 192 lbs is a reasonable prediction. Check It Out: Example 2 Continued Course Lines of Best Fit

Lesson Quiz Plot the data to find the line of best fit Insert Lesson Title Here Possible answer: y = 2x + 1 Possible answer: y = –10x + 9 Course Lines of Best Fit