1 / 8

2.5 Scatter Plots & Lines of Regression

2.5 Scatter Plots & Lines of Regression. Correlation. Scatter plots are data points: gathered, plotted and used to determine relationships. Line of Best Fit. The line that approximates the set of data. It’s essentially a line of average through the center of all the points

ryo
Download Presentation

2.5 Scatter Plots & Lines of Regression

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 2.5 Scatter Plots & Lines of Regression

  2. Correlation • Scatter plots are data points: gathered, plotted and used to determine relationships

  3. Line of Best Fit • The line that approximates the set of data. • It’s essentially a line of average through the center of all the points • Can be found by hand or using calculator • Line allows us to make future predictions

  4. Scatter Plots and LoBF(by hand) • Find data, plot points • Sketch what you think LoBF is • Find two points on your line • Find slope • Use Point Slope Form and solve for y.

  5. Example 1: Determine the line of best fit using the table of values given. Example 2: Use your LoBF to estimate the y-value when x is 12.

  6. Scatter Plots & LoBF(w/ calculator) Line of Best Fit • STAT >> CALC • 4: LinReg (ax + b) - ENTER x2 Scatter Plots • Input Table -STAT >> EDIT - Data into L1 & L2 • Adjust Window - WINDOW • View Graph - 2nd >> Y = >> ENTER - Select “On” - GRAPH IF YOUR INPUTTED DATA IS NOT IN L1 & L2 SOME OF THIS WORK HAS TO CHANGE!

  7. Graphing the Line of Best Fit Y= VARS 5: Statistics >> EQ >> ENTER 2nd >>> CALC >>> type in your value ENTER Predict using the Line of Best Fit

  8. Example The table shows the winning times for an annual dirt bike race for the period 2000–2008.Use a graphing calculator to make a scatter plot of the data. Find and graph a line of regression. Then use the function to predict the winning time in 2015. Let t = 0 represent the year 2000.

More Related