I am new to machine learning and I am confused with the use of parameters in linear regression for multiple variables. I do understand the hypothesis function's parameters (I know that theta 0 is the y-intercept and theta 1 is the slope) but I can not understand the use of them in the multiple variables cases (I thought that they might represent other dimensions but is it their slopes, intercept, etc?)
Please help because I am a 15-year-old beginner and I am really interested in learning machine learning but my math is not still all that complete and I still don't understand some core concepts in ML.
Thank you so much for your contribution!