Just two long questions for statistics here:

1) I am having a hard time understanding correlation and regression. My understanding of correlation is that it is defined as when things or events are occurring at the same time, and they have a similar association but are not connected by relationships in their effect. In the correlation coefficient, the value' 0' means there is no relationship between variables, but -1 or 1 indicates that there is either a negative relationship or a positive relationship. Regression, on the other hand, depicts how an independent variable is associated with the dependent variable.

Using"LINE" in regression or what is referred to as homoscedasticity, my question, how is a t-test used to test the null hypothesis in regression?

2) I understand that a correlation is a connection between two things, and regression is used to quantify the relationship between two quantitative variables. Regression seems to be the part that I am having the most difficulty with, are there any key points that I should be paying more attention to in order to better understand it? I am hoping that I can find some extra helpful hints, any advice is welcome!

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