Is a wriggly curve that goes through each one of them.
line of fit
a straight line
Actually, two separate points are enough to determine the line.
Data points that are not close to the line of best fit are called outliers.
a line of best fit
Line of best fit
line of best fit
"Line of best fit"
line of best fit.
False. When solving for the slope of the best fit line, you should consider all data points in your dataset to find the line that best fits the overall trend. Choosing points closest to the line or on the line may bias your results and not accurately represent the relationship between the variables.
The line closest to a set of data points in the coordinate plane is often determined using linear regression, which finds the best-fitting line by minimizing the sum of the squared distances (errors) between the observed data points and the line. This is typically represented in the form of (y = mx + b), where (m) is the slope and (b) is the y-intercept. The resulting line provides a linear approximation of the relationship between the variables represented by the data.
extrapolate
That is not true. It is possible for a data set to have a coefficient of determination to be 0.5 and none of the points to lies on the regression line.
linear graph
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 that is very close to most of the data points in a scatter plot is called the "line of best fit" or "trend line." It represents the general direction or trend of the data, minimizing the distance between itself and all the data points. This line can be determined using various methods, such as least squares regression, and helps in making predictions based on the observed data.
a line of best fit