How Dummy Variables Should Be Modeled In A Linear Regression Model? The 2019 Stack Overflow Developer Survey Results Are In Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsMultiple linear regression, fMRIPreprocessing to-be-predicted data in ML with R - “learn” and “apply” featuresHow to use correct weights in linear regression modelSimple Linear Regression-----How to make my model more efficient??Linear Model for Linear RegressionLinear Regression Coefficient CalculationEvaluation of linear regression modelLinear Regression ErrorLinear regression model with (categorical) predictor variablesDummy variables for unseen data in R
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How Dummy Variables Should Be Modeled In A Linear Regression Model?
The 2019 Stack Overflow Developer Survey Results Are In
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsMultiple linear regression, fMRIPreprocessing to-be-predicted data in ML with R - “learn” and “apply” featuresHow to use correct weights in linear regression modelSimple Linear Regression-----How to make my model more efficient??Linear Model for Linear RegressionLinear Regression Coefficient CalculationEvaluation of linear regression modelLinear Regression ErrorLinear regression model with (categorical) predictor variablesDummy variables for unseen data in R
$begingroup$
I've a cross sectional model where I want predict number of users that take specific service, to make it I've many variables but have specifically two nominal: isWorkday(0 or 1) and weeday(1,2,3,...,7). When I make the model, taking into account the two variables, generates high multicollinearity. So I've delete one of them, so what's better have many dummies (weeday) or less dummies (isWorkday).
linear-regression prediction dummy-variables
asked 7 mins ago
David SalgadoDavid Salgado
1
New contributor
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I've a cross sectional model where I want predict number of users that take specific service, to make it I've many variables but have specifically two nominal: isWorkday(0 or 1) and weeday(1,2,3,...,7). When I make the model, taking into account the two variables, generates high multicollinearity. So I've delete one of them, so what's better have many dummies (weeday) or less dummies (isWorkday).
linear-regression prediction dummy-variables
asked 7 mins ago
David SalgadoDavid Salgado
1
New contributor
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I've a cross sectional model where I want predict number of users that take specific service, to make it I've many variables but have specifically two nominal: isWorkday(0 or 1) and weeday(1,2,3,...,7). When I make the model, taking into account the two variables, generates high multicollinearity. So I've delete one of them, so what's better have many dummies (weeday) or less dummies (isWorkday).
linear-regression prediction dummy-variables
asked 7 mins ago
David SalgadoDavid Salgado
1
New contributor
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I've a cross sectional model where I want predict number of users that take specific service, to make it I've many variables but have specifically two nominal: isWorkday(0 or 1) and weeday(1,2,3,...,7). When I make the model, taking into account the two variables, generates high multicollinearity. So I've delete one of them, so what's better have many dummies (weeday) or less dummies (isWorkday).
linear-regression prediction dummy-variables
linear-regression prediction dummy-variables
asked 7 mins ago
David SalgadoDavid Salgado
1
New contributor
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
David SalgadoDavid Salgado
1
New contributor
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
David SalgadoDavid Salgado
1
New contributor
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
David SalgadoDavid Salgado
1
asked 7 mins ago
David SalgadoDavid Salgado
1
1
New contributor
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
David Salgado is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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