Not at all. If the two variables have a negative correlation, that is as on increases the other decreases, then the line of best fit would have a negative gradient.
a correlation on a graph is when the line of best fit is positive, negative or none.
The line of best fit does not have to pass through the 0 (origin) and rarely does
The line of best fit is simply the line that shows the general direction of the graph. The trick is to make the line go through as many points on the graph as possible. Some scatter plots have no line of best fit.
Not necessarily. Often it is, but the line of best fit is simply an equation that closely matches the results. Therefore any line could be a line of best fit, linear, quadradic, or even cubic! The sky (and the results) are the limit.
Data points that are not close to the line of best fit are called outliers.
dunnno dunnno
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
If plotting a graph and are producing a straight line to find a gradient: You plot a line of best fit, then you plot two other lines starting from the same point which show the extreme lines of best fit (do this in fainter lines so that the best one stands out). Find the gradients for all three lines, use the first line that you drew as the main value. Then find the largest difference between the middle line and the extreme lines E.g. if the gradient of the lines were: First line gradient = 1.2 Second (Top extreme line of best fit) gradient =1.5 Third (Minimum extreme line of best fit) gradient = 1.0 Find the larget difference: 1.5-1.2=0.3 1.0-1.2=-0.2 Therefore the largest difference is 0.3 (not 0.2) Therefore your final result would be: 1.2 (+-) 0.3 I hope this helps :D
a correlation on a graph is when the line of best fit is positive, negative or none.
Yes but phrased differently
The line that minimized the sum of the squares of the diffences of each point from the line is the line of best fit.
the whole sum is messed up * * * * * You get a line of "best fit" whose gradient is zero. The correlation coefficient and the covariance are statistically no different from zero.
A line of best-fit.
What is the difference between a trend line and a line of best fit
Because the "best fit" line is usually required to be a straight line, but the data points are not all on one straight line. (If they were, then the best-fit line would be a real no-brainer.)
The line of best fit does not have to pass through the 0 (origin) and rarely does
Finding the line of best fit is called linear regression.