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Aditya Sharma
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Asked: January 27, 2021In: Linear Regression

P-Value in Linear Regression

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In Linear Regression, if the p-value of the f-stat is < 0.05 we reject the H0 and accept the Ha. Which means we know that at least one variable has a coefficient greater than zero. For individual variables, we consider ...Read more

In Linear Regression, if the p-value of the f-stat is < 0.05 we reject the H0 and accept the Ha. Which means we know that at least one variable has a coefficient greater than zero. For individual variables, we consider the variable to be statistically significant if the p-value<0.05. Why this is so?

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linear regressionp-value
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Adwait N. Pradhan
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Asked: January 22, 2021In: Linear Regression

Model Export

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Is it possible export or save a model so that whenever i want i can run the model if so how should i do it?

Is it possible export or save a model so that whenever i want i can run the model if so how should i do it?

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Tirtharaj
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Asked: January 22, 2021In: Statistics

Statistical significant difference

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What does the term statistically significant result mean?

What does the term statistically significant result mean?

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Aditya Sharma
Aditya Sharma

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Asked: January 26, 2021In: Python

Are there any coding standards in Python?

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Like in C ++, we have certain coding standards that help us write proper code by following defined coding conventions. Are there any coding standards in Python?

Like in C ++, we have certain coding standards that help us write proper code by following defined coding conventions. Are there any coding standards in Python?

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codingstandardspythoncoding
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Bikash Ghosh
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Asked: January 26, 2021In: Linear Regression

Model Overfitting or Underfitting

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How do I know if my model is Overfitting or Underfitting?

How do I know if my model is Overfitting or Underfitting?

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Bikash Ghosh
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Asked: January 26, 2021In: Python

How can I validate user input in Python

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How can I make the program ask for valid inputs instead of crashing when non-sensible data is entered?

How can I make the program ask for valid inputs instead of crashing when non-sensible data is entered?

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NehaSequeira
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Asked: June 17, 2021In: Linear Regression

Scaling for numeric variables

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Why is scaling for numeric variables done before splitting it into a train & test dataset?

Why is scaling for numeric variables done before splitting it into a train & test dataset?

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mahima_vaidya
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Asked: July 5, 2021In: Python

Multiple Linear Regression

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If the p value of a specific independent variable is less than 0.05 then it is considered to be a statistically significant variable. How to extract these variables from the dataset using Python ?

If the p value of a specific independent variable is less than 0.05 then it is considered to be a statistically significant variable. How to extract these variables from the dataset using Python ?

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pythonquestion
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Rudrava Mukherjee
Rudrava Mukherjee

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Asked: February 20, 2021In: Logistic Regression

Constant in Logistic Regression

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Why do we need to add a constants column with the independent variables while doing logistic regression?

Why do we need to add a constants column with the independent variables while doing logistic regression?

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logistic regressionquestion
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Ketaki Bhide
Ketaki Bhide

Ketaki Bhide

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Ketaki BhideUser
Asked: July 8, 2021In: Linear Regression

Dropping of variables which are not significant and are having high VIF value

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For more accuracy while fitting a linear model, we drop the input variables/features which are not significant(i.e pvalue>0.05) and whose variation inflation factor is  greater  than 5,I have landed up in a case where both input variables are highly correlated ...Read more

For more accuracy while fitting a linear model, we drop the input variables/features which are not significant(i.e pvalue>0.05) and whose variation inflation factor is  greater  than 5,I have landed up in a case where both input variables are highly correlated with each other and significant too,so which one should I drop?

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  • Dipayan Sarkar
    Dipayan Sarkar added an answer One of the assumptions of Linear Regression - No multicollinearity.… July 14, 2021 at 4:46 am
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    mahima_vaidya added an answer 'OLS' object has no attribute 'pvalues' This is the error… July 6, 2021 at 7:24 am
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    Dipayan Sarkar added an answer The statsmodels.regression.linear_model.OLSResults.pvalues should give you the pvalues of the respective… July 5, 2021 at 6:10 pm
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    shreemann added an answer If we remove the intercept then that would make the… June 23, 2021 at 4:53 am
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    Suchita added an answer When we scale the date prior to train-test split,  we… June 18, 2021 at 11:35 am
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