Run Stepwise Regression in R

Data Source: www.kaggle.com/mirichoi0218/i...
How to use:
ols_step_forward_p
ols_step_backward_p
ols_step_both_p

[@arek6296]

I needed this for my homework. Although I don't even know what it does and typed random variabales it somehow worked , thanks probably. Maybe one day I will will dip myself in data analysis, but it's not this day.

[@paulocovele6091]

Thank you for the clear explanation

[@mariamadam9626]

Thank you Michelle easy to practice

[@islamsabah5662]

Thanks, great lesson

[@tamimahmed2450]

very helpful indeed

[@nukestrom5719]

Nice. Thank you

[@petelok9969]

Hi this is great. Thanks Michelle. When using this technique does take into account multicolinearity? That said are there a robust and more automated method for dealing with highly correlated independent variables for when you have quite a big number of parameters? Peter

[@angvelsan2287]

What is the reason to choose 0.1?

[@Junmingli8]

How do you display the selection summary output that actually shows you the CP term? I keep getting a table that shows the AIC, SBIC, and SBC. Do you know why this discrepancy in our output exists?
I am using the same package and function as you are.

[@edouardgiudicelli2933]

Is it possible to do stepwise regression for binomial models with glm ?

[@hawiwakjira4076]

I set penter=0.05, but one variable that is added to the model, which has the value of p=0.064 . What is the problem?

[@edmondmalepane3141]

how do I then find its f distribution?

[@merikrocha]

Hi, package for StepWise in GLM ? You Know ?