When no possible relationship between the two variables in question is statistically significant.
A line of best fit or a trend line.
The answer to ts question is....Trend Line.
line graph or a scatter plot.
A scatter plot.
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.
The trend line for a scatter plot is a line that best captures the nature of the relationship between two variables. It may or may not be straight. The trend line for a scatter plot is a line that best captures the nature of the relationship between two variables. It may or may not be straight. The trend line for a scatter plot is a line that best captures the nature of the relationship between two variables. It may or may not be straight. The trend line for a scatter plot is a line that best captures the nature of the relationship between two variables. It may or may not be straight.
No. When you draw a best line of fit on the scattered plot, the line would not be straight.
A line of best fit or a trend line.
By finding the line of best fit and using the straight line equation formula.
A trend that decreases downward in a scatter plot.
The answer to ts question is....Trend Line.
Line of best fit
No, that would be quite unusual if if did, although not impossible.
Scatter plot line graphs are used:In research to see trendsby Actuaries to predict insurance ratesby economist to predict the economyThe general idea is to derive a trend or general theme for a series of points of data.
line graph or a scatter plot.
A scatter plot.
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.