Now say for example we have our our x variable. Basically wanna use a regression and in order to predict how something might change. Now in terms of why it is that we'd want to use a regression equation. So just so you could see some similarities here in this case. By it's going to end up being our X and then our m our slope is going to end up being x.
We see how V is going to be our y intercept. Now in this case where b is our y-intercept so we can actually kind of see how he has some similarities between the array. Now for those of you who've taken algebra this Same type of equation follows a general formula for simple linear equation that's going to be y is equal to MX plus B. Now the linear regression equation above this general formula where we have Y hat is equal to a y plus b y times x. Now you'll see up on the board that I've given an equation for the linear regression equation. Now there's many different types of regression equations but just simply in this one we're going to go over linear regression equations. More specifically in this particular video tutorial we're going to be going over linear regression equations. Now what exactly is a regression equation agressively a regression equation as something that models the dependent relationship of two or more variables And it essentially it is a way in which we can measure the extent to which the dependent variable is going to change based off of how the independent variable changes. More specifically we're going to be going over regression equations. Today we're going to be going over statistics topic. Hey guys named Scott I'm from Chegg Tutors and I typically two subjects like statistics biology chemistry psychology and sociology.
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