Order to perform linear regression on a Casio. I need to turn my calculator on and press the menu button once in menu. I move to the right and press execute on the stat category for statistics. Here's where I'll enter my data for my x and y values I will use list one for my X and list two for my y values to enter a value. I simply type the number and press execute. I'll do this for four entries just to demonstrate and now I'm gonna go press the right Ariel arrow to move to list two where I'll again enter my Y values by typing in the number and pressing execute. Now you can see that. I have four entries for both lists you want to make sure the dimensions of your two lists match that means you need to have the same number of values in each list your X list and your Y list now to do linear regression. I'm gonna hit f2 which lines up with the word see ALC for calculate so I press f2 and I want to do regression so I can see our eg for regression I hit f3. Now there's many types of regressions. I want to do linear regression. Which is simply an equation in the form of y equals. MX plus B so I'm gonna hit f1 which corresponds to the X now. There's two different ways you can shoe this choose this. I'm going to use MX plus B so I'm going to hit f1 for the ax plus B form and now I've got my linear regression my slope is two point. Four eight five two point four eight six if I round up my B value or y-intercept is negative zero point eight to eight and I have all of my information there as well as my r-squared value which determines how well my data is fit by this line in order to remove values from your column if you need to change your data if the exit button that brings me back to the list if I hit exit again and again and again I get back to what my menu usually reads out now in order to delete things I'm gonna hit f6 which moves me to additional parts of the menu and then I can see de l4 delete so I'll hit f4 to clear my data and now I'm ready to enter new data use this button f6 to move to calculate press f3 for regression f1 for y equals MX plus B and f1 once more and as you can see I don't have any data and my dimensions don't match up so I cannot perform linear regression.