Ordinary Least Squares - P values differing in Jupyter and Spyder for the same Multiple Linear Regression problem 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 ResultsDifference between OLS(statsmodel) and Scikit Linear RegressionMultiple linear regression, fMRICan FTRL be applied on linear least squares? or is it just for logistic regression models?What is the difference between residual sum of squares and ordinary least squares?Difference between Sum of Squares and Maximum Likelihood Linear RegressionWhy running the same code on the same data gives a different result every time?Value extraction from a python dataframe [ problem statement specific ]Spacy Returns Nonidentical Results for Doc. Examples?How to integrate google cloud with dropbox and jupyter notebook using tensorflowDifference between output of probabilistic and ordinary least squares regressions
Are my PIs rude or am I just being too sensitive?
What can I do if my MacBook isn’t charging but already ran out?
Writing Thesis: Copying from published papers
How can players take actions together that are impossible otherwise?
I'm having difficulty getting my players to do stuff in a sandbox campaign
I'm thinking of a number
Can a non-EU citizen traveling with me come with me through the EU passport line?
Antler Helmet: Can it work?
Simulating Exploding Dice
Mortgage adviser recommends a longer term than necessary combined with overpayments
How do you clear the ApexPages.getMessages() collection in a test?
How do I keep my slimes from escaping their pens?
What items from the Roman-age tech-level could be used to deter all creatures from entering a small area?
Estimated State payment too big --> money back; + 2018 Tax Reform
Slither Like a Snake
Single author papers against my advisor's will?
What would be Julian Assange's expected punishment, on the current English criminal law?
Active filter with series inductor and resistor - do these exist?
New Order #5: where Fibonacci and Beatty meet at Wythoff
Do working physicists consider Newtonian mechanics to be "falsified"?
What are the performance impacts of 'functional' Rust?
How many things? AとBがふたつ
What computer would be fastest for Mathematica Home Edition?
Determine whether f is a function, an injection, a surjection
Ordinary Least Squares - P values differing in Jupyter and Spyder for the same Multiple Linear Regression problem
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 ResultsDifference between OLS(statsmodel) and Scikit Linear RegressionMultiple linear regression, fMRICan FTRL be applied on linear least squares? or is it just for logistic regression models?What is the difference between residual sum of squares and ordinary least squares?Difference between Sum of Squares and Maximum Likelihood Linear RegressionWhy running the same code on the same data gives a different result every time?Value extraction from a python dataframe [ problem statement specific ]Spacy Returns Nonidentical Results for Doc. Examples?How to integrate google cloud with dropbox and jupyter notebook using tensorflowDifference between output of probabilistic and ordinary least squares regressions
$begingroup$
I am trying out a Multiple Linear Regression problem from a Udemy course. The course used Spyder to run the models. When I used the same code on Spyder, I got the same responses. To recap and make my own notes, I was studying and creating a Jupyter Notebook. However, it gives me a different OLS Summary. For both Spyder and Jupyter, the code and libraries used are the same. I am using the statsmodels.formula.api (as sm) and the sm.OLS(endog=y,exog=X_opt).fit() function on the same Vector. Any insight as to why this is happening?
machine-learning python linear-regression jupyter
edited Apr 1 at 4:11
Ethan
697625
asked Apr 1 at 0:54
AnandAnand
1011
$endgroup$
add a comment |
$begingroup$
I am trying out a Multiple Linear Regression problem from a Udemy course. The course used Spyder to run the models. When I used the same code on Spyder, I got the same responses. To recap and make my own notes, I was studying and creating a Jupyter Notebook. However, it gives me a different OLS Summary. For both Spyder and Jupyter, the code and libraries used are the same. I am using the statsmodels.formula.api (as sm) and the sm.OLS(endog=y,exog=X_opt).fit() function on the same Vector. Any insight as to why this is happening?
machine-learning python linear-regression jupyter
edited Apr 1 at 4:11
Ethan
697625
asked Apr 1 at 0:54
AnandAnand
1011
$endgroup$
add a comment |
$begingroup$
I am trying out a Multiple Linear Regression problem from a Udemy course. The course used Spyder to run the models. When I used the same code on Spyder, I got the same responses. To recap and make my own notes, I was studying and creating a Jupyter Notebook. However, it gives me a different OLS Summary. For both Spyder and Jupyter, the code and libraries used are the same. I am using the statsmodels.formula.api (as sm) and the sm.OLS(endog=y,exog=X_opt).fit() function on the same Vector. Any insight as to why this is happening?
machine-learning python linear-regression jupyter
edited Apr 1 at 4:11
Ethan
697625
asked Apr 1 at 0:54
AnandAnand
1011
$endgroup$
I am trying out a Multiple Linear Regression problem from a Udemy course. The course used Spyder to run the models. When I used the same code on Spyder, I got the same responses. To recap and make my own notes, I was studying and creating a Jupyter Notebook. However, it gives me a different OLS Summary. For both Spyder and Jupyter, the code and libraries used are the same. I am using the statsmodels.formula.api (as sm) and the sm.OLS(endog=y,exog=X_opt).fit() function on the same Vector. Any insight as to why this is happening?
machine-learning python linear-regression jupyter
machine-learning python linear-regression jupyter
edited Apr 1 at 4:11
Ethan
697625
asked Apr 1 at 0:54
AnandAnand
1011
edited Apr 1 at 4:11
Ethan
697625
asked Apr 1 at 0:54
AnandAnand
1011
edited Apr 1 at 4:11
Ethan
697625
edited Apr 1 at 4:11
Ethan
697625
edited Apr 1 at 4:11
Ethan
697625
697625
asked Apr 1 at 0:54
AnandAnand
1011
asked Apr 1 at 0:54
AnandAnand
1011
asked Apr 1 at 0:54
AnandAnand
1011
1011
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48321%2fordinary-least-squares-p-values-differing-in-jupyter-and-spyder-for-the-same-m%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48321%2fordinary-least-squares-p-values-differing-in-jupyter-and-spyder-for-the-same-m%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
