Integrated math 1
- Estimating the line of best fit exercise
- Eyeballing the line of best fit
- Line of best fit: smoking in 1945
- Estimating slope of line of best fit
- Estimating equations of lines of best fit, and using them to make predictions
- Interpreting a trend line
- Interpreting slope and y-intercept for linear models
- Equations of trend lines: Phone data
Estimating the line of best fit exercise
The "line of best fit" is a line that shows the pattern of data points. If we can find a good line, it means there is a linear trend. If not, it means there is no linear trend. We can't ignore points that don't fit the trend. Created by Sal Khan.
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- I love Khan academy :)))!(18 votes)
- i am lost. when i do it on the practice, i am usually wrong by one or two points. is there a way to calculate this??halp!(11 votes)
- Here's a process you might try. Find the point that is the closest to one corner. Then, find the point that is closest to the opposite corner. Connect those two points.
Then, look at the line you draw and compare the rest of the points to it. If there are more points above the line than below it, then you might need to move the line up some. And if there are more points below the line than above, you might need to move the line down some.
Just experiment until you've got the line as close as possible to as many points as you can. It's OK if some points are far away, as long as your really close to most of the points.(8 votes)
- Khan Academy makes it a lot easier to understand some of the difficult math tasks.(4 votes)
- And it helps confuse you with the easier math tasks!(3 votes)
- Can you have a line of best fit when you have no correlation?(4 votes)
- If the correlation is exactly 0, then the best fit line using least squares regression is the horizontal line (slope 0) through y-bar (the mean y-value).(2 votes)
- How do we make predictions in scatterplots(4 votes)
- Pretty sure it has something to do with the unit rate(maybe)(1 vote)
- so if i just do a line that is close to the other scatter points would it be right?(3 votes)
- A tip my teacher gave us was that a good line of best fit maintains a roughly equal amount of points on both sides.(2 votes)
- Honestly, I still don't get it. How would you know if it's accurate? And there's a method called Least Squares to find the equation, but how would you calculate if there are hundreds of points?(3 votes)
- If there are hundreds of points you not be using a line graph, you should be using a f/x table (frequency table)(1 vote)
- What does best line fit mean(3 votes)
- its the imaginary linear line that would go best in-between the points to show how good of a fit it is(1 vote)
- Where are these questions? Can I practice with them?(2 votes)
Find the line of best fit, or mark that there is no linear correlation. So let's see, we have a bunch of data points, and we want to find a line that at least shows the trend in the data. And this one seems a little difficult because if we ignore these three points down here, maybe we could do a line that looks something like this. It seems like it kind of approximates this trend, although this doesn't seem like a great trend. And if we ignored these two points right over, we could do something like maybe something like that. But we can't just ignore points like that. So I would say that there's actually no good line of best fit here. So let me check my answer. Let's try a couple more of these. Find the line of best-- well, this feels very similar. It really feels like there's no-- I mean, I could do that, but I'm ignoring these two points. I could do something like that, then I'd be ignoring these points. So I'd also say no good best fit line exists. So let's try one more. So here it looks like there's very clearly this trend. And I could try to fit it a little bit better than it's fit right now. So it feels like something like that fits this trend line quite well. I could maybe drop this down a little bit, something like that. Let's check my answer. A good best fit line exists. Let me check my answer. We got it right.