1 / 18

Real Data Analysis

Real Data Analysis. Linear VS Non-Linear. Regression http://n-steps.tetratech-ffx.com/PDF%26otherFiles/stat_anal_tools/regression_final.pdf. One of the most common statistical modeling tools used, regression is a technique that treats one variable as a function of another.

oya
Download Presentation

Real Data Analysis

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. Real Data Analysis Linear VS Non-Linear

  2. Regression http://n-steps.tetratech-ffx.com/PDF%26otherFiles/stat_anal_tools/regression_final.pdf • One of the most commonstatistical modeling tools used, regression is a technique that treats one variable as a function of another. • The result of a regression analysis is an equation that can be used to predict a response from the value of a given predictor. • Regression is often used in experimental tests where … one tests whether there is a significant increase or decrease in the response variable ….

  3. What’s that mean? • One tool used in the ‘real world’ to help make business decisions and determine the results of scientific experiments is regression analysis. • You use regression analysis to see if one thing (like the periods of time a store is open) strongly affects another thing (like how much money the store makes). • There are many types of regression analysis. • Two of those are linear and nonlinear.

  4. Linear Regression line of best fit scatterplot • The relationship between the two variables is directly proportional. • Directly Proportional: If one value increases, the other increases as well. • The function that passes through the middle of the scatterplot is called the line of best fit. Linear Regression Model

  5. Nonlinear Regressions • There are many types of nonlinear regressions due to the fact that they are anything that is not linear. • Quadratic Regression • Cubic Regression • Quartic Regression • Power Regression • Exponential Regression • Logarithmic Regression • Logistic Regression

  6. Nonlinear Regressions • Quadratic Regression • Cubic Regression Y=ax2+bx+c Y=ax3+bx2+cx+d

  7. Nonlinear Regressions • Quartic Regression • Power Regression Y=ax4+bx3+cx2+dx+c Y=axb

  8. Nonlinear Regressions • Exponential Regression • Logarithmic Regression Y=kax Y=klogax

  9. Nonlinear Regressions • Logistic Regression

  10. Calculating a Regression Function Step One: Press STAT Step Two: Select EDIT Step Three: Enter the data

  11. Calculating a Regression Function Step Four: Press STAT PLOT Step Five: Select 1 Step Six: Select ON

  12. Calculating a Regression Function Step Seven: Press WINDOW Step Eight: Adjust x-min, x-max, y-min, and y-max Step Nine: Press GRAPH

  13. Calculating a Regression Function Step Ten: Press STAT Step Eleven: Select CALC Step Twelve: Select 4: LinReg(ax+b) [we’re going to see if it’s linear] Step Thirteen: Tell the Calculator where you want the equation stored.

  14. (How to find the Y-Variables) Press VARS

  15. Calculating a Regression Function Step Fourteen: Press ENTER Step Fifteen: Press GRAPH Does that look like the graph is best fit with a line?

  16. Calculating a Regression Function

  17. Calculating a Regression Function The best regression equation for this set of data is

  18. Practice: Find the Best Fit Equation

More Related