Linked Questions

24
votes
8answers
50k views

When forcing intercept of 0 in linear regression is acceptable/advisable [duplicate]

I have a regression model to estimate the completion time of a process, based on various factors. I have 200 trials of these processes, where the 9 factors being measured vary widely. When I perform a ...
7
votes
2answers
6k views

Deliberately fitting a model without intercept [duplicate]

Is there a situation in which the mean of a Y variable is not 0 (e.g. not standardized), but we would still fit a regression model without intercept? It would yield a worse fitting model, so is there ...
4
votes
2answers
32k views

Significance of Regression Intercept (R lm model) [duplicate]

Question: Having performanced a linear regression in R with the lm function, I'm not sure how to interpret the results for the Intercept (as shown below). It seems the probability of the intercept'...
7
votes
3answers
3k views

What are the uses and pitfalls of regression through the origin? [duplicate]

Spuriously high R-squared is one of the pitfalls of regression through the origin (i.e. zero-intercept models). If the predictors do not contain zeroes, then is it an extrapolation? What are the uses ...
2
votes
1answer
2k views

Ridge Regression: When should the intercept be included ? What is the purpose of the intercept term? [duplicate]

I am trying to determine what is the purpose of including the intercept term in ridge regression. In what situations should I include the intercept term ? And in what situations should I not ...
3
votes
0answers
4k views

To exclude or include the intercept in GLM model [duplicate]

When is is appropropriate to include or exclude the intercept from a regression model? SPSS provides this option in the GLM menu. I am assessing group difference (gender) on tasks performed (X) and ...
0
votes
1answer
2k views

Constant in OLS model [duplicate]

Sometimes in OLS model we have constant for example -2345 significant and doesn't have a mean. Why we must keep it in the model? Why when we drop it the results change? What does it mean? And ...
0
votes
0answers
870 views

Explain the fit_intercept parameter in some scikit learn classifiers [duplicate]

I'm fairly new to machine learning and I am using the Linear SVM classifier to classify some text data and I was wondering what exactly does the fit_intercept parameter does and what would be a good ...
1
vote
1answer
367 views

Regression: Insignificant Intercept [duplicate]

I ran a regression and the intercept is statistically insignificant (the p-value is greater than 0.05). I tried to look in some textbooks as to how to handle this scenario but I am still unsure. One ...
0
votes
1answer
562 views

OLS with categorical variables [duplicate]

1) When we omit the intercept, aren't we forcing the regression line through the origin? Does that pose any problem because we assume that there is no variable that affects the outcome other than the ...
2
votes
0answers
524 views

Logical reasons for choosing regression through the origin [duplicate]

Is it reasonable to choose a regression model with a value of 0 for the intercept when this makes logical sense? For example, I am trying to model a physical ...
0
votes
1answer
292 views

Can I leave intercept out in OLS? [duplicate]

I have a model similar to the following: y = a + b + c + d + e; a,b, and ...
3
votes
0answers
255 views

Regression Through Origin [duplicate]

I was reading about (simple) linear regression through origin and I have the following questions: What are the standard assumptions of such a regression model? I am asking this of the true model not ...
1
vote
1answer
62 views

why is constant important in machine learning - linear regression? [duplicate]

I have been reading about linear regression a lot on internet. And people everywhere use a model: y = w*x+b and I have huge difficulties to understand why? As well ...
1
vote
0answers
126 views

Multiple regression: What to do when the intercept is not significant? [duplicate]

Possible Duplicate: When is it ok to remove the intercept in lm()? I have some regression output from R: ...

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