SlideShare a Scribd company logo
1 of 7
Focus Fox
EXIT CARD QUESTIONS TODAY – AT THE END OF CLASS!
4, 9, 10
Logarithmic Transformations
Logarithmic Transformations
To solve logs, you can use the log and ln buttons on your calculator. But
when x is in a log, you must rewrite it or “undo” or invert it.
You can rewrite the logs in exponential form:
logb x = y → by = x
log x = 2 102 = x = 100
(when there is no base, the log is in base 10)
ln x = y → ey = x
ln x = 3 e3 = x
Logarithmic Transformations
When you use logs to transform data to make a linear graph, you have two
options:
1. Use the log or natural log of the y variable (response variable) – log
transformation & exponential models. The graph will be the
explanatory variable x on the x-axis, and the natural log of the response
variable ln y or log y on the y-axis.
2. Use the log of both variables – power models using log transformations.
The x-axis is the log or natural log of the explanatory variable log x or
ln x, and the y-axis is the log or natural log of the response variable log
y or ln y.
Logarithmic Transformations
Reading & Interpreting option 1 - Log transformations on the response
variable y.
Pg. 773-775
If a variable grows exponentially, its logarithm grows linearly.
Logarithmic Transformations
Option 2 - Power Models with 2 log transformations
If a power model describes the relationship between two variables, a
scatterplot of the logarithms of both variables should produce a linear
pattern.
Pg. 778-779
Logarithmic Transformations
We can use our graphing calculators to model log transformations and
determine whether a log transformation is needed on just y or both x and y
to achieve linearity.
Enter the values of the explanatory data in L1 and the values of the response
variable in L2
Define L3 as the log of L1
Define L4 as the log of L2
To determine which model to use, graph a
plot of L1 vs L4, then graph a plot of L3 vs L4
We will use whichever is more linear.
Run Linear Regression – LinReg(a + bx) L3, L4, Y1
Age (yrs)
Monthly
Premium
40 $29
45 $49
50 $68
55 $106
60 $157
65 $257

More Related Content

What's hot

Logistic regression
Logistic regressionLogistic regression
Logistic regressionsaba khan
 
Basics of Regression analysis
 Basics of Regression analysis Basics of Regression analysis
Basics of Regression analysisMahak Vijayvargiya
 
Logistic regression
Logistic regressionLogistic regression
Logistic regressionDrZahid Khan
 
Multiple linear regression
Multiple linear regressionMultiple linear regression
Multiple linear regressionJames Neill
 
Regression analysis algorithm
Regression analysis algorithm Regression analysis algorithm
Regression analysis algorithm Sammer Qader
 
Categorical data analysis
Categorical data analysisCategorical data analysis
Categorical data analysisSumit Das
 
Regression analysis
Regression analysisRegression analysis
Regression analysisRavi shankar
 
Regression Analysis
Regression AnalysisRegression Analysis
Regression AnalysisSalim Azad
 
Non linearregression 4+
Non linearregression 4+Non linearregression 4+
Non linearregression 4+Ricardo Solano
 
Introduction to Generalized Linear Models
Introduction to Generalized Linear ModelsIntroduction to Generalized Linear Models
Introduction to Generalized Linear Modelsrichardchandler
 
Lecture cochran
Lecture cochranLecture cochran
Lecture cochransabbir11
 
Simple Linear Regression: Step-By-Step
Simple Linear Regression: Step-By-StepSimple Linear Regression: Step-By-Step
Simple Linear Regression: Step-By-StepDan Wellisch
 
Regression analysis in R
Regression analysis in RRegression analysis in R
Regression analysis in RAlichy Sowmya
 
Simple linear regression (final)
Simple linear regression (final)Simple linear regression (final)
Simple linear regression (final)Harsh Upadhyay
 

What's hot (20)

Logistic regression
Logistic regressionLogistic regression
Logistic regression
 
Basics of Regression analysis
 Basics of Regression analysis Basics of Regression analysis
Basics of Regression analysis
 
Bayesian inference
Bayesian inferenceBayesian inference
Bayesian inference
 
Pca ppt
Pca pptPca ppt
Pca ppt
 
Logistic regression
Logistic regressionLogistic regression
Logistic regression
 
Multiple linear regression
Multiple linear regressionMultiple linear regression
Multiple linear regression
 
Regression analysis algorithm
Regression analysis algorithm Regression analysis algorithm
Regression analysis algorithm
 
Categorical data analysis
Categorical data analysisCategorical data analysis
Categorical data analysis
 
Regression analysis
Regression analysisRegression analysis
Regression analysis
 
Regression Analysis
Regression AnalysisRegression Analysis
Regression Analysis
 
Non linearregression 4+
Non linearregression 4+Non linearregression 4+
Non linearregression 4+
 
Introduction to Generalized Linear Models
Introduction to Generalized Linear ModelsIntroduction to Generalized Linear Models
Introduction to Generalized Linear Models
 
Lecture cochran
Lecture cochranLecture cochran
Lecture cochran
 
Simple Linear Regression: Step-By-Step
Simple Linear Regression: Step-By-StepSimple Linear Regression: Step-By-Step
Simple Linear Regression: Step-By-Step
 
6. R data structures
6. R data structures6. R data structures
6. R data structures
 
Logistic regression
Logistic regressionLogistic regression
Logistic regression
 
Simple linear regression
Simple linear regressionSimple linear regression
Simple linear regression
 
Logistic Regression Analysis
Logistic Regression AnalysisLogistic Regression Analysis
Logistic Regression Analysis
 
Regression analysis in R
Regression analysis in RRegression analysis in R
Regression analysis in R
 
Simple linear regression (final)
Simple linear regression (final)Simple linear regression (final)
Simple linear regression (final)
 

Similar to Logarithmic transformations

Properties of logarithms
Properties of logarithmsProperties of logarithms
Properties of logarithmsJessica Garcia
 
7.6 solving logarithmic equations
7.6 solving logarithmic equations7.6 solving logarithmic equations
7.6 solving logarithmic equationsswartzje
 
Module 4 exponential and logarithmic functions
Module 4   exponential and logarithmic functionsModule 4   exponential and logarithmic functions
Module 4 exponential and logarithmic functionsdionesioable
 
Logarithms in mathematics maths log loga
Logarithms in mathematics maths log logaLogarithms in mathematics maths log loga
Logarithms in mathematics maths log logaDr. Karrar Alwash
 
Exponential and logarithmic functions
Exponential and logarithmic functionsExponential and logarithmic functions
Exponential and logarithmic functionsawesomepossum7676
 
Logarithmic Functions
Logarithmic FunctionsLogarithmic Functions
Logarithmic Functionsswartzje
 
Logarithm
LogarithmLogarithm
Logarithmitutor
 
1. Graph the exponential function by hand. Identify any asymptotes.docx
1. Graph the exponential function by hand. Identify any asymptotes.docx1. Graph the exponential function by hand. Identify any asymptotes.docx
1. Graph the exponential function by hand. Identify any asymptotes.docxjackiewalcutt
 
Math130 ch09
Math130 ch09Math130 ch09
Math130 ch09Putrace
 
Mc ty-logarithms-2009-1
Mc ty-logarithms-2009-1Mc ty-logarithms-2009-1
Mc ty-logarithms-2009-1sheetslibrary
 
Logarithms Text
Logarithms TextLogarithms Text
Logarithms TextSifuDias
 
4.3 Logarithmic Functions
4.3 Logarithmic Functions4.3 Logarithmic Functions
4.3 Logarithmic Functionssmiller5
 
Lecture 11 sections 4.3-4.4 logarithmic functions
Lecture 11   sections 4.3-4.4  logarithmic functionsLecture 11   sections 4.3-4.4  logarithmic functions
Lecture 11 sections 4.3-4.4 logarithmic functionsnjit-ronbrown
 

Similar to Logarithmic transformations (20)

Logarithmic functions (2)
Logarithmic functions (2)Logarithmic functions (2)
Logarithmic functions (2)
 
Properties of logarithms
Properties of logarithmsProperties of logarithms
Properties of logarithms
 
7.6 solving logarithmic equations
7.6 solving logarithmic equations7.6 solving logarithmic equations
7.6 solving logarithmic equations
 
Module 4 exponential and logarithmic functions
Module 4   exponential and logarithmic functionsModule 4   exponential and logarithmic functions
Module 4 exponential and logarithmic functions
 
Logarithms in mathematics maths log loga
Logarithms in mathematics maths log logaLogarithms in mathematics maths log loga
Logarithms in mathematics maths log loga
 
Exponential and logarithmic functions
Exponential and logarithmic functionsExponential and logarithmic functions
Exponential and logarithmic functions
 
Logmodels2
Logmodels2Logmodels2
Logmodels2
 
Logmodels2
Logmodels2Logmodels2
Logmodels2
 
Logarithmic Functions
Logarithmic FunctionsLogarithmic Functions
Logarithmic Functions
 
Stats chapter 3
Stats chapter 3Stats chapter 3
Stats chapter 3
 
Logarithm
LogarithmLogarithm
Logarithm
 
1. Graph the exponential function by hand. Identify any asymptotes.docx
1. Graph the exponential function by hand. Identify any asymptotes.docx1. Graph the exponential function by hand. Identify any asymptotes.docx
1. Graph the exponential function by hand. Identify any asymptotes.docx
 
Math130 ch09
Math130 ch09Math130 ch09
Math130 ch09
 
Mc ty-logarithms-2009-1
Mc ty-logarithms-2009-1Mc ty-logarithms-2009-1
Mc ty-logarithms-2009-1
 
Logarithms Text
Logarithms TextLogarithms Text
Logarithms Text
 
05 dataflow
05 dataflow05 dataflow
05 dataflow
 
Unit 3.4
Unit 3.4Unit 3.4
Unit 3.4
 
4.3 Logarithmic Functions
4.3 Logarithmic Functions4.3 Logarithmic Functions
4.3 Logarithmic Functions
 
Lambda Calculus
Lambda CalculusLambda Calculus
Lambda Calculus
 
Lecture 11 sections 4.3-4.4 logarithmic functions
Lecture 11   sections 4.3-4.4  logarithmic functionsLecture 11   sections 4.3-4.4  logarithmic functions
Lecture 11 sections 4.3-4.4 logarithmic functions
 

More from amylute

What are the odds notes
What are the odds notesWhat are the odds notes
What are the odds notesamylute
 
Transforming data for inference
Transforming data for inferenceTransforming data for inference
Transforming data for inferenceamylute
 
Inference in regression line test
Inference  in regression line testInference  in regression line test
Inference in regression line testamylute
 
Regression inference confidence intervals
Regression inference confidence intervalsRegression inference confidence intervals
Regression inference confidence intervalsamylute
 
Using chi square wisely
Using chi square wiselyUsing chi square wisely
Using chi square wiselyamylute
 
Chi square test for homgeneity
Chi square test for homgeneityChi square test for homgeneity
Chi square test for homgeneityamylute
 
Relationships across distribution
Relationships across distributionRelationships across distribution
Relationships across distributionamylute
 
Chi square goodness of fit test
Chi square goodness of fit testChi square goodness of fit test
Chi square goodness of fit testamylute
 
Chi square distribution table c
Chi square distribution table cChi square distribution table c
Chi square distribution table camylute
 
Ap statistics chp. 11
Ap statistics chp. 11Ap statistics chp. 11
Ap statistics chp. 11amylute
 
Dividing polys
Dividing polysDividing polys
Dividing polysamylute
 
Solving triangles pp slides
Solving triangles pp slidesSolving triangles pp slides
Solving triangles pp slidesamylute
 
Conditional prob & independence
Conditional prob & independenceConditional prob & independence
Conditional prob & independenceamylute
 
Two way tables & venn diagrams
Two way tables & venn diagramsTwo way tables & venn diagrams
Two way tables & venn diagramsamylute
 
Probability models & basic rules
Probability models & basic rulesProbability models & basic rules
Probability models & basic rulesamylute
 
Simulation
SimulationSimulation
Simulationamylute
 
Mthys of probability
Mthys of probabilityMthys of probability
Mthys of probabilityamylute
 
4.3 using studies wisely
4.3 using studies wisely4.3 using studies wisely
4.3 using studies wiselyamylute
 
4.2 blocking
4.2 blocking4.2 blocking
4.2 blockingamylute
 
4.2 placebos & double blind
4.2 placebos & double blind4.2 placebos & double blind
4.2 placebos & double blindamylute
 

More from amylute (20)

What are the odds notes
What are the odds notesWhat are the odds notes
What are the odds notes
 
Transforming data for inference
Transforming data for inferenceTransforming data for inference
Transforming data for inference
 
Inference in regression line test
Inference  in regression line testInference  in regression line test
Inference in regression line test
 
Regression inference confidence intervals
Regression inference confidence intervalsRegression inference confidence intervals
Regression inference confidence intervals
 
Using chi square wisely
Using chi square wiselyUsing chi square wisely
Using chi square wisely
 
Chi square test for homgeneity
Chi square test for homgeneityChi square test for homgeneity
Chi square test for homgeneity
 
Relationships across distribution
Relationships across distributionRelationships across distribution
Relationships across distribution
 
Chi square goodness of fit test
Chi square goodness of fit testChi square goodness of fit test
Chi square goodness of fit test
 
Chi square distribution table c
Chi square distribution table cChi square distribution table c
Chi square distribution table c
 
Ap statistics chp. 11
Ap statistics chp. 11Ap statistics chp. 11
Ap statistics chp. 11
 
Dividing polys
Dividing polysDividing polys
Dividing polys
 
Solving triangles pp slides
Solving triangles pp slidesSolving triangles pp slides
Solving triangles pp slides
 
Conditional prob & independence
Conditional prob & independenceConditional prob & independence
Conditional prob & independence
 
Two way tables & venn diagrams
Two way tables & venn diagramsTwo way tables & venn diagrams
Two way tables & venn diagrams
 
Probability models & basic rules
Probability models & basic rulesProbability models & basic rules
Probability models & basic rules
 
Simulation
SimulationSimulation
Simulation
 
Mthys of probability
Mthys of probabilityMthys of probability
Mthys of probability
 
4.3 using studies wisely
4.3 using studies wisely4.3 using studies wisely
4.3 using studies wisely
 
4.2 blocking
4.2 blocking4.2 blocking
4.2 blocking
 
4.2 placebos & double blind
4.2 placebos & double blind4.2 placebos & double blind
4.2 placebos & double blind
 

Recently uploaded

Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 
CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxJiesonDelaCerna
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupJonathanParaisoCruz
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...jaredbarbolino94
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 

Recently uploaded (20)

Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 
CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptx
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized Group
 
ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 

Logarithmic transformations

  • 1. Focus Fox EXIT CARD QUESTIONS TODAY – AT THE END OF CLASS! 4, 9, 10
  • 3. Logarithmic Transformations To solve logs, you can use the log and ln buttons on your calculator. But when x is in a log, you must rewrite it or “undo” or invert it. You can rewrite the logs in exponential form: logb x = y → by = x log x = 2 102 = x = 100 (when there is no base, the log is in base 10) ln x = y → ey = x ln x = 3 e3 = x
  • 4. Logarithmic Transformations When you use logs to transform data to make a linear graph, you have two options: 1. Use the log or natural log of the y variable (response variable) – log transformation & exponential models. The graph will be the explanatory variable x on the x-axis, and the natural log of the response variable ln y or log y on the y-axis. 2. Use the log of both variables – power models using log transformations. The x-axis is the log or natural log of the explanatory variable log x or ln x, and the y-axis is the log or natural log of the response variable log y or ln y.
  • 5. Logarithmic Transformations Reading & Interpreting option 1 - Log transformations on the response variable y. Pg. 773-775 If a variable grows exponentially, its logarithm grows linearly.
  • 6. Logarithmic Transformations Option 2 - Power Models with 2 log transformations If a power model describes the relationship between two variables, a scatterplot of the logarithms of both variables should produce a linear pattern. Pg. 778-779
  • 7. Logarithmic Transformations We can use our graphing calculators to model log transformations and determine whether a log transformation is needed on just y or both x and y to achieve linearity. Enter the values of the explanatory data in L1 and the values of the response variable in L2 Define L3 as the log of L1 Define L4 as the log of L2 To determine which model to use, graph a plot of L1 vs L4, then graph a plot of L3 vs L4 We will use whichever is more linear. Run Linear Regression – LinReg(a + bx) L3, L4, Y1 Age (yrs) Monthly Premium 40 $29 45 $49 50 $68 55 $106 60 $157 65 $257