How to Visualize Multiple Linear Regression in python

Multiple Linear Regression is similar to simple linear regression but the major difference being that we try to establish linear relationship between one response variable and more than one predictor variables. For example suppose that a researcher is studying that how the housing prices are affected by area of the apartment and the demand supply gap in that region. The response variable is apartment price (Y) and the predictor variables are area of apartment (X1) and demand supply gap (X2).

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[arsalansyed]

Thank you so much! I finally understand MLR because of you!

[Deepsim]

How about variables X are more than 3, say 5 (x1, x2, x3, x4, x5) and y?

[palankit]

Could you please let me know how we can see there is linear relationship between dependent and independent variables when we have so many independent variables in the dataset? this assumption is need to validate for Multiple linear regression

[miqra]

Hello sir, just thank you so much for your channel. You really permit me to fall in love with Datascience. May God bless you

[vishalmalpure]

Hi sir, when i try to run the same code.i am getting an error that Unknown projection '3d'.Please help

[Icey-s]

Hi Krish, How do we put this into practical? How do I put the desire multiple independent values to find a dependent values?

[vanithas]

Really good explanation. Can i use number of students in x axis and year in y axis to plot best fit line using linear regression?. Students count usually increased every year but not always. Can i use linear regression to predict student count? Plz reply.

[jayasuriyas]

It was greatly explained, could you share the code to save the figure.

[sandeshbirla]

Hi,
Pls tell, How to find the equation of plane?

[akashpoudel]

Sir could u make a video on general approach for solving a data science problem,
the approach will be different for different problem,
but which comes first then second so on and so forth....Meshed up with pre -processing, training,
tunning....