User:Williamevanl

Linear Regression
Measures the relationship between two variables. Given variable and give alpha or + that gives that best explains the data.

so maybe you have ice cream sold (1 lb, 2 lb, 6 lb) and ice cream consumed (.8 lb, 1.5lb, 4lb) there will be a best value that trends the value that most closely equals makes sense of the data.

Y = a + bX = Y = alpha + beta(X)

Y is considered the outcome variable and X is the variable that you think can predict your outcome Y. In my example above ice cream sold would be X and ice cream consumed would be variable Y.