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The line of best fit formula is y = mx + b. Finding the line of best fit formula can be done using the point slope method. Take two points, usually the beginning point and the last point given, and find the slope and y intercept.
Step 1: Enter the data in your calculator. Press , then press 1: Edit Step 2: Find the Linear Regression Equation. Press , then ~, in order to highlight CALC , then select 4: LinReg(ax+b). You should see this screen. Step 3: Graphing your data AND the line of best fit. First, graph the data. Press y o (STAT PLOT).
1:30 2:36 Four. Choice number four and Ill press the enter. Key. Now since I have everything in L1 and L2MoreFour. Choice number four and Ill press the enter. Key. Now since I have everything in L1 and L2 thats kind of the default. I dont need to do anything else but press the enter key one more. Time.
3:09 4:38 You can see that its actually already selected up there. So Im going to press second. And calc.MoreYou can see that its actually already selected up there. So Im going to press second. And calc. And it basically wants to know okay what list do you want me to use.
4:45 7:15 And its a function so hit enter. And its Y1 we want so hit enter. And now weve told theMoreAnd its a function so hit enter. And its Y1 we want so hit enter. And now weve told the calculator. Take the Xs in L1 the Ys in L2. Make an equation and put the answer an equation y1.

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0:05 3:27 All the Y values are in L2. Then we need to go in. And go to the catalog. So second catalog. AndMoreAll the Y values are in L2. Then we need to go in. And go to the catalog. So second catalog. And turn on the Diagnostics. This has been done before then its probably on the Diagnostics on hit enter.
To find the line of best fit: Apps. 6: Data/Matrix Editor. 1: Current. F5 Calc. Calculation Type: Arrow Right then 5: LinReg (that stands for linear regression) x: c1. y: c2. Store RegEq to . . : Arrow right then select y1(x) (or any other function number)

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