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Aditya Sharma
Aditya Sharma

Aditya Sharma

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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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Aditya Sharma
Aditya Sharma

Aditya Sharma

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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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mahima_vaidya
mahima_vaidya

mahima_vaidya

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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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Ketaki Bhide
Ketaki Bhide

Ketaki Bhide

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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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