SlideShare ist ein Scribd-Unternehmen logo
1 von 1
Downloaden Sie, um offline zu lesen
1. How do correlation coefficients summarize the information in scatter-plot? What do scatter-
plots reveal that correlation coefficients do not?
2. What is the relationship between the correlation coefficient and R-squared?
Solution
1. They summarise the strength and direction of any potential linear relationship
between x and y. 2.In statistics, the coefficient of determination R2 is used in the context of
statistical models whose main purpose is the prediction of future outcomes on the basis of other
related information. It is the proportion of variability in a data set that is accounted for by the
statistical model. It provides a measure of how well future outcomes are likely to be predicted by
the model. There are several different definitions of R2 which are only sometimes equivalent.
One class of such cases includes that of linear regression. In this case, if an intercept is included
then R2 is simply the square of the sample correlation coefficient between the outcomes and
their predicted values, or in the case of simple linear regression, between the outcomes and the
values of the single regressor being used for prediction. In such cases, the coefficient of
determination ranges from 0 to 1. Important cases where the computational definition of R2 can
yield negative values, depending on the definition used, arise where the predictions which are
being compared to the corresponding outcomes have not been derived from a model-fitting
procedure using those data, and where linear regression is conducted without including an
intercept.

Weitere ähnliche Inhalte

Ähnlich wie 1. How do correlation coefficients summarize the information in scat.pdf

Association between-variables
Association between-variablesAssociation between-variables
Association between-variablesBorhan Uddin
 
Data Science - Part IV - Regression Analysis & ANOVA
Data Science - Part IV - Regression Analysis & ANOVAData Science - Part IV - Regression Analysis & ANOVA
Data Science - Part IV - Regression Analysis & ANOVADerek Kane
 
Correlation analysis notes
Correlation analysis notesCorrelation analysis notes
Correlation analysis notesJapheth Muthama
 
Correlation and regression
Correlation and regressionCorrelation and regression
Correlation and regressionMohit Asija
 
linear_regression_notes.pdf
linear_regression_notes.pdflinear_regression_notes.pdf
linear_regression_notes.pdfTamilarasiP13
 
Assessment 2 ContextIn many data analyses, it is desirable.docx
Assessment 2 ContextIn many data analyses, it is desirable.docxAssessment 2 ContextIn many data analyses, it is desirable.docx
Assessment 2 ContextIn many data analyses, it is desirable.docxfestockton
 
Assessment 2 ContextIn many data analyses, it is desirable.docx
Assessment 2 ContextIn many data analyses, it is desirable.docxAssessment 2 ContextIn many data analyses, it is desirable.docx
Assessment 2 ContextIn many data analyses, it is desirable.docxgalerussel59292
 
Correlation and regression
Correlation and regressionCorrelation and regression
Correlation and regressionAntony Raj
 
ders 8 Quantile-Regression.ppt
ders 8 Quantile-Regression.pptders 8 Quantile-Regression.ppt
ders 8 Quantile-Regression.pptErgin Akalpler
 
Exploring bivariate data
Exploring bivariate dataExploring bivariate data
Exploring bivariate dataUlster BOCES
 
Correlation analysis
Correlation analysisCorrelation analysis
Correlation analysisAwais Salman
 

Ähnlich wie 1. How do correlation coefficients summarize the information in scat.pdf (20)

Association between-variables
Association between-variablesAssociation between-variables
Association between-variables
 
12943625.ppt
12943625.ppt12943625.ppt
12943625.ppt
 
Data Science - Part IV - Regression Analysis & ANOVA
Data Science - Part IV - Regression Analysis & ANOVAData Science - Part IV - Regression Analysis & ANOVA
Data Science - Part IV - Regression Analysis & ANOVA
 
Correlation analysis notes
Correlation analysis notesCorrelation analysis notes
Correlation analysis notes
 
9. parametric regression
9. parametric regression9. parametric regression
9. parametric regression
 
Simple Regression.pptx
Simple Regression.pptxSimple Regression.pptx
Simple Regression.pptx
 
Correlation and regression
Correlation and regressionCorrelation and regression
Correlation and regression
 
linear_regression_notes.pdf
linear_regression_notes.pdflinear_regression_notes.pdf
linear_regression_notes.pdf
 
special-correlation.ppt
special-correlation.pptspecial-correlation.ppt
special-correlation.ppt
 
Assessment 2 ContextIn many data analyses, it is desirable.docx
Assessment 2 ContextIn many data analyses, it is desirable.docxAssessment 2 ContextIn many data analyses, it is desirable.docx
Assessment 2 ContextIn many data analyses, it is desirable.docx
 
Assessment 2 ContextIn many data analyses, it is desirable.docx
Assessment 2 ContextIn many data analyses, it is desirable.docxAssessment 2 ContextIn many data analyses, it is desirable.docx
Assessment 2 ContextIn many data analyses, it is desirable.docx
 
Correlation and regression
Correlation and regressionCorrelation and regression
Correlation and regression
 
Chap04 01
Chap04 01Chap04 01
Chap04 01
 
Math n Statistic
Math n StatisticMath n Statistic
Math n Statistic
 
ders 8 Quantile-Regression.ppt
ders 8 Quantile-Regression.pptders 8 Quantile-Regression.ppt
ders 8 Quantile-Regression.ppt
 
Exploring bivariate data
Exploring bivariate dataExploring bivariate data
Exploring bivariate data
 
Regression -Linear.pptx
Regression -Linear.pptxRegression -Linear.pptx
Regression -Linear.pptx
 
Correlation analysis
Correlation analysisCorrelation analysis
Correlation analysis
 
IDS.pdf
IDS.pdfIDS.pdf
IDS.pdf
 
2-20-04.ppt
2-20-04.ppt2-20-04.ppt
2-20-04.ppt
 

Mehr von akramali786

1. Mrs. Benton’s class had an average of 85 on the TLI math test. Th.pdf
1. Mrs. Benton’s class had an average of 85 on the TLI math test. Th.pdf1. Mrs. Benton’s class had an average of 85 on the TLI math test. Th.pdf
1. Mrs. Benton’s class had an average of 85 on the TLI math test. Th.pdfakramali786
 
1. Mr. Jones, who is running for mayor, claims she is favored by 53.pdf
1. Mr. Jones, who is running for mayor, claims she is favored by 53.pdf1. Mr. Jones, who is running for mayor, claims she is favored by 53.pdf
1. Mr. Jones, who is running for mayor, claims she is favored by 53.pdfakramali786
 
1. List and describe items that should be included when estimating a.pdf
1. List and describe items that should be included when estimating a.pdf1. List and describe items that should be included when estimating a.pdf
1. List and describe items that should be included when estimating a.pdfakramali786
 
1. Mark Barton owns a garage and is contemplating purchasing a tire .pdf
1. Mark Barton owns a garage and is contemplating purchasing a tire .pdf1. Mark Barton owns a garage and is contemplating purchasing a tire .pdf
1. Mark Barton owns a garage and is contemplating purchasing a tire .pdfakramali786
 
1. Let X1; ;X100 be a random sample with replacement that foll.pdf
1. Let X1;    ;X100 be a random sample with replacement that foll.pdf1. Let X1;    ;X100 be a random sample with replacement that foll.pdf
1. Let X1; ;X100 be a random sample with replacement that foll.pdfakramali786
 
1. Management InformationSystem consists of people, equipment, and p.pdf
1. Management InformationSystem consists of people, equipment, and p.pdf1. Management InformationSystem consists of people, equipment, and p.pdf
1. Management InformationSystem consists of people, equipment, and p.pdfakramali786
 
1. Let log(A) = 5 and log(B) = -25. Find log(AB) .-203015-.pdf
1. Let log(A) = 5 and log(B) = -25. Find log(AB) .-203015-.pdf1. Let log(A) = 5 and log(B) = -25. Find log(AB) .-203015-.pdf
1. Let log(A) = 5 and log(B) = -25. Find log(AB) .-203015-.pdfakramali786
 
1. Let H be a real Hilbert space with inner product. and S,T be in H.pdf
1. Let H be a real Hilbert space with inner product. and S,T be in H.pdf1. Let H be a real Hilbert space with inner product. and S,T be in H.pdf
1. Let H be a real Hilbert space with inner product. and S,T be in H.pdfakramali786
 
1. If sums of squares statistics are calculated for shoppers at thre.pdf
1. If sums of squares statistics are calculated for shoppers at thre.pdf1. If sums of squares statistics are calculated for shoppers at thre.pdf
1. If sums of squares statistics are calculated for shoppers at thre.pdfakramali786
 
1. in the excerpt from hamlet, polonius is speaking toa( his so.pdf
1. in the excerpt from hamlet, polonius is speaking toa( his so.pdf1. in the excerpt from hamlet, polonius is speaking toa( his so.pdf
1. in the excerpt from hamlet, polonius is speaking toa( his so.pdfakramali786
 
1. In Maslow’s hierarchy of needs, what is the termused for the driv.pdf
1. In Maslow’s hierarchy of needs, what is the termused for the driv.pdf1. In Maslow’s hierarchy of needs, what is the termused for the driv.pdf
1. In Maslow’s hierarchy of needs, what is the termused for the driv.pdfakramali786
 
1. In March 2010, Mc Donald’s Corp. announced apolicy to increase su.pdf
1. In March 2010, Mc Donald’s Corp. announced apolicy to increase su.pdf1. In March 2010, Mc Donald’s Corp. announced apolicy to increase su.pdf
1. In March 2010, Mc Donald’s Corp. announced apolicy to increase su.pdfakramali786
 
1. In a sample of 125 people, 80 indicated that their primary social.pdf
1. In a sample of 125 people, 80 indicated that their primary social.pdf1. In a sample of 125 people, 80 indicated that their primary social.pdf
1. In a sample of 125 people, 80 indicated that their primary social.pdfakramali786
 
1. In a game a player rolls a fair six-sided die. If the score is ev.pdf
1. In a game a player rolls a fair six-sided die. If the score is ev.pdf1. In a game a player rolls a fair six-sided die. If the score is ev.pdf
1. In a game a player rolls a fair six-sided die. If the score is ev.pdfakramali786
 
1. In 1995, the cost of unleaded gasoline was $0.95 per gallon. In 2.pdf
1. In 1995, the cost of unleaded gasoline was $0.95 per gallon. In 2.pdf1. In 1995, the cost of unleaded gasoline was $0.95 per gallon. In 2.pdf
1. In 1995, the cost of unleaded gasoline was $0.95 per gallon. In 2.pdfakramali786
 
1. If X is a hypergeometric random variable with parameters n, K, an.pdf
1. If X is a hypergeometric random variable with parameters n, K, an.pdf1. If X is a hypergeometric random variable with parameters n, K, an.pdf
1. If X is a hypergeometric random variable with parameters n, K, an.pdfakramali786
 
1. If the required reserve ratio is 0.2, the level of deposits is $1.pdf
1. If the required reserve ratio is 0.2, the level of deposits is $1.pdf1. If the required reserve ratio is 0.2, the level of deposits is $1.pdf
1. If the required reserve ratio is 0.2, the level of deposits is $1.pdfakramali786
 
1. If the cost of new common equity is higher than the cost of inter.pdf
1. If the cost of new common equity is higher than the cost of inter.pdf1. If the cost of new common equity is higher than the cost of inter.pdf
1. If the cost of new common equity is higher than the cost of inter.pdfakramali786
 
1. If the random variable z is the standard normal score, is it true.pdf
1. If the random variable z is the standard normal score, is it true.pdf1. If the random variable z is the standard normal score, is it true.pdf
1. If the random variable z is the standard normal score, is it true.pdfakramali786
 
1. If the distribution of IQ is centered at 100 , and has a standard.pdf
1. If the distribution of IQ is centered at 100 , and has a standard.pdf1. If the distribution of IQ is centered at 100 , and has a standard.pdf
1. If the distribution of IQ is centered at 100 , and has a standard.pdfakramali786
 

Mehr von akramali786 (20)

1. Mrs. Benton’s class had an average of 85 on the TLI math test. Th.pdf
1. Mrs. Benton’s class had an average of 85 on the TLI math test. Th.pdf1. Mrs. Benton’s class had an average of 85 on the TLI math test. Th.pdf
1. Mrs. Benton’s class had an average of 85 on the TLI math test. Th.pdf
 
1. Mr. Jones, who is running for mayor, claims she is favored by 53.pdf
1. Mr. Jones, who is running for mayor, claims she is favored by 53.pdf1. Mr. Jones, who is running for mayor, claims she is favored by 53.pdf
1. Mr. Jones, who is running for mayor, claims she is favored by 53.pdf
 
1. List and describe items that should be included when estimating a.pdf
1. List and describe items that should be included when estimating a.pdf1. List and describe items that should be included when estimating a.pdf
1. List and describe items that should be included when estimating a.pdf
 
1. Mark Barton owns a garage and is contemplating purchasing a tire .pdf
1. Mark Barton owns a garage and is contemplating purchasing a tire .pdf1. Mark Barton owns a garage and is contemplating purchasing a tire .pdf
1. Mark Barton owns a garage and is contemplating purchasing a tire .pdf
 
1. Let X1; ;X100 be a random sample with replacement that foll.pdf
1. Let X1;    ;X100 be a random sample with replacement that foll.pdf1. Let X1;    ;X100 be a random sample with replacement that foll.pdf
1. Let X1; ;X100 be a random sample with replacement that foll.pdf
 
1. Management InformationSystem consists of people, equipment, and p.pdf
1. Management InformationSystem consists of people, equipment, and p.pdf1. Management InformationSystem consists of people, equipment, and p.pdf
1. Management InformationSystem consists of people, equipment, and p.pdf
 
1. Let log(A) = 5 and log(B) = -25. Find log(AB) .-203015-.pdf
1. Let log(A) = 5 and log(B) = -25. Find log(AB) .-203015-.pdf1. Let log(A) = 5 and log(B) = -25. Find log(AB) .-203015-.pdf
1. Let log(A) = 5 and log(B) = -25. Find log(AB) .-203015-.pdf
 
1. Let H be a real Hilbert space with inner product. and S,T be in H.pdf
1. Let H be a real Hilbert space with inner product. and S,T be in H.pdf1. Let H be a real Hilbert space with inner product. and S,T be in H.pdf
1. Let H be a real Hilbert space with inner product. and S,T be in H.pdf
 
1. If sums of squares statistics are calculated for shoppers at thre.pdf
1. If sums of squares statistics are calculated for shoppers at thre.pdf1. If sums of squares statistics are calculated for shoppers at thre.pdf
1. If sums of squares statistics are calculated for shoppers at thre.pdf
 
1. in the excerpt from hamlet, polonius is speaking toa( his so.pdf
1. in the excerpt from hamlet, polonius is speaking toa( his so.pdf1. in the excerpt from hamlet, polonius is speaking toa( his so.pdf
1. in the excerpt from hamlet, polonius is speaking toa( his so.pdf
 
1. In Maslow’s hierarchy of needs, what is the termused for the driv.pdf
1. In Maslow’s hierarchy of needs, what is the termused for the driv.pdf1. In Maslow’s hierarchy of needs, what is the termused for the driv.pdf
1. In Maslow’s hierarchy of needs, what is the termused for the driv.pdf
 
1. In March 2010, Mc Donald’s Corp. announced apolicy to increase su.pdf
1. In March 2010, Mc Donald’s Corp. announced apolicy to increase su.pdf1. In March 2010, Mc Donald’s Corp. announced apolicy to increase su.pdf
1. In March 2010, Mc Donald’s Corp. announced apolicy to increase su.pdf
 
1. In a sample of 125 people, 80 indicated that their primary social.pdf
1. In a sample of 125 people, 80 indicated that their primary social.pdf1. In a sample of 125 people, 80 indicated that their primary social.pdf
1. In a sample of 125 people, 80 indicated that their primary social.pdf
 
1. In a game a player rolls a fair six-sided die. If the score is ev.pdf
1. In a game a player rolls a fair six-sided die. If the score is ev.pdf1. In a game a player rolls a fair six-sided die. If the score is ev.pdf
1. In a game a player rolls a fair six-sided die. If the score is ev.pdf
 
1. In 1995, the cost of unleaded gasoline was $0.95 per gallon. In 2.pdf
1. In 1995, the cost of unleaded gasoline was $0.95 per gallon. In 2.pdf1. In 1995, the cost of unleaded gasoline was $0.95 per gallon. In 2.pdf
1. In 1995, the cost of unleaded gasoline was $0.95 per gallon. In 2.pdf
 
1. If X is a hypergeometric random variable with parameters n, K, an.pdf
1. If X is a hypergeometric random variable with parameters n, K, an.pdf1. If X is a hypergeometric random variable with parameters n, K, an.pdf
1. If X is a hypergeometric random variable with parameters n, K, an.pdf
 
1. If the required reserve ratio is 0.2, the level of deposits is $1.pdf
1. If the required reserve ratio is 0.2, the level of deposits is $1.pdf1. If the required reserve ratio is 0.2, the level of deposits is $1.pdf
1. If the required reserve ratio is 0.2, the level of deposits is $1.pdf
 
1. If the cost of new common equity is higher than the cost of inter.pdf
1. If the cost of new common equity is higher than the cost of inter.pdf1. If the cost of new common equity is higher than the cost of inter.pdf
1. If the cost of new common equity is higher than the cost of inter.pdf
 
1. If the random variable z is the standard normal score, is it true.pdf
1. If the random variable z is the standard normal score, is it true.pdf1. If the random variable z is the standard normal score, is it true.pdf
1. If the random variable z is the standard normal score, is it true.pdf
 
1. If the distribution of IQ is centered at 100 , and has a standard.pdf
1. If the distribution of IQ is centered at 100 , and has a standard.pdf1. If the distribution of IQ is centered at 100 , and has a standard.pdf
1. If the distribution of IQ is centered at 100 , and has a standard.pdf
 

Kürzlich hochgeladen

2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptxSandy Millin
 
How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17Celine George
 
The Singapore Teaching Practice document
The Singapore Teaching Practice documentThe Singapore Teaching Practice document
The Singapore Teaching Practice documentXsasf Sfdfasd
 
The basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxThe basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxheathfieldcps1
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICESayali Powar
 
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...Nguyen Thanh Tu Collection
 
How to Manage Cross-Selling in Odoo 17 Sales
How to Manage Cross-Selling in Odoo 17 SalesHow to Manage Cross-Selling in Odoo 17 Sales
How to Manage Cross-Selling in Odoo 17 SalesCeline George
 
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptxClinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptxraviapr7
 
CAULIFLOWER BREEDING 1 Parmar pptx
CAULIFLOWER BREEDING 1 Parmar pptxCAULIFLOWER BREEDING 1 Parmar pptx
CAULIFLOWER BREEDING 1 Parmar pptxSaurabhParmar42
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17Celine George
 
CapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapitolTechU
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptxmary850239
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxDr. Asif Anas
 
Maximizing Impact_ Nonprofit Website Planning, Budgeting, and Design.pdf
Maximizing Impact_ Nonprofit Website Planning, Budgeting, and Design.pdfMaximizing Impact_ Nonprofit Website Planning, Budgeting, and Design.pdf
Maximizing Impact_ Nonprofit Website Planning, Budgeting, and Design.pdfTechSoup
 
Diploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfDiploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfMohonDas
 
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptxPISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptxEduSkills OECD
 
How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17Celine George
 
HED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfHED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfMohonDas
 

Kürzlich hochgeladen (20)

2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
 
Prelims of Kant get Marx 2.0: a general politics quiz
Prelims of Kant get Marx 2.0: a general politics quizPrelims of Kant get Marx 2.0: a general politics quiz
Prelims of Kant get Marx 2.0: a general politics quiz
 
How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17
 
The Singapore Teaching Practice document
The Singapore Teaching Practice documentThe Singapore Teaching Practice document
The Singapore Teaching Practice document
 
The basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxThe basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptx
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICE
 
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
 
How to Manage Cross-Selling in Odoo 17 Sales
How to Manage Cross-Selling in Odoo 17 SalesHow to Manage Cross-Selling in Odoo 17 Sales
How to Manage Cross-Selling in Odoo 17 Sales
 
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptxClinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
 
CAULIFLOWER BREEDING 1 Parmar pptx
CAULIFLOWER BREEDING 1 Parmar pptxCAULIFLOWER BREEDING 1 Parmar pptx
CAULIFLOWER BREEDING 1 Parmar pptx
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17
 
CapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptx
 
Finals of Kant get Marx 2.0 : a general politics quiz
Finals of Kant get Marx 2.0 : a general politics quizFinals of Kant get Marx 2.0 : a general politics quiz
Finals of Kant get Marx 2.0 : a general politics quiz
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptx
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptx
 
Maximizing Impact_ Nonprofit Website Planning, Budgeting, and Design.pdf
Maximizing Impact_ Nonprofit Website Planning, Budgeting, and Design.pdfMaximizing Impact_ Nonprofit Website Planning, Budgeting, and Design.pdf
Maximizing Impact_ Nonprofit Website Planning, Budgeting, and Design.pdf
 
Diploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfDiploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdf
 
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptxPISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
 
How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17
 
HED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfHED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdf
 

1. How do correlation coefficients summarize the information in scat.pdf

  • 1. 1. How do correlation coefficients summarize the information in scatter-plot? What do scatter- plots reveal that correlation coefficients do not? 2. What is the relationship between the correlation coefficient and R-squared? Solution 1. They summarise the strength and direction of any potential linear relationship between x and y. 2.In statistics, the coefficient of determination R2 is used in the context of statistical models whose main purpose is the prediction of future outcomes on the basis of other related information. It is the proportion of variability in a data set that is accounted for by the statistical model. It provides a measure of how well future outcomes are likely to be predicted by the model. There are several different definitions of R2 which are only sometimes equivalent. One class of such cases includes that of linear regression. In this case, if an intercept is included then R2 is simply the square of the sample correlation coefficient between the outcomes and their predicted values, or in the case of simple linear regression, between the outcomes and the values of the single regressor being used for prediction. In such cases, the coefficient of determination ranges from 0 to 1. Important cases where the computational definition of R2 can yield negative values, depending on the definition used, arise where the predictions which are being compared to the corresponding outcomes have not been derived from a model-fitting procedure using those data, and where linear regression is conducted without including an intercept.