what is Simple linear regression ? find here - https://www.excelr.com/blog/data-science/regression/simple-linear-regression
are you having trouble with this question? the source you've provided explains simple linear regression, albeit in a very thorough way. I can try to explain it in more simple terms, if you'd like.
in statistics, the general definition of regression (also called regression analysis) is a statistical method used to quantify the relationship between two variables. for simple linear regression, the relationship between two variables is said to be linear, meaning that a graph of the data should roughly resemble a straight line. the source you listed gives the formula y = β0 + β1x + ε if β1 is a real # coefficient, and β0 then the y = β0 + β1x part resembles the linear equation y = mx + b, where m is the slope and b is the y-intercept. ε is an error term, which is another constant. you can input a data set into statistical software, and it will calculate the simple regression line (there's a lot of math involved, which you may or may not need to know) that will approximate the data. does that make it a little more clear? please let me know if you'd like me to simplify it further
reference: https://www.investopedia.com/terms/r/regression.asp#:~:text=Regression%20is%20a%20statistical%20method,(known%20as%20independent%20variables).
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