| Modeling Non-linear Data 
 
                
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                  | "Title" Tutorial Summary : |  
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                                  This tutorial describes the way to model non-linear data.   We will identify  exponential and power functions.  Through which we can transform exponential and power functions into  linear functions. And then by using properties of logarithms, we can create a model for non-linear data.  We will also discuss  the relationship between errors and residuals. Then we will also introduce  studentized residual for further applications. |  
 
                
                  | Tutorial Features: |  
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                                  Specific  Tutorial Features: 
                                    Studentized  residuals are used because the variances of the residuals differ, even though  the variances of the true errors are all equal to each other.
Least-squares  regression techinques is used to minimize residual between the data points and  the curve. Series  Features: 
                                    Concept  map showing inter-connections of new concepts in this tutorial and those  previously introduced.
Definition  slides introduce terms as they are needed.
Visual  representation of concepts
Animated  examples—worked out step by step
A  concise summary is given at the conclusion of the tutorial. |  
 
                
                  | "Title" Topic List: |  
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                                      Linear  growth
Exponential  growth
Common  Ratio
Algebraic  Properties of Logarithms
Studentized  Residual |  
 
 See all 24 lessons in Introductory Statistics, including concept tutorials, problem drills and cheat sheets:Teach Yourself Introductory Statistics Visually in 24 Hours
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