The (x,y) points can be approximated by a linear equation.
The (x,y) points are almost linearly related.
No, it is not possible to make accurate predictions based on a scatter plot with no correlation. A scatter plot with no correlation means that the data points are randomly scattered and do not follow any specific pattern or trend. Without a correlation, it is difficult to establish a relationship between the variables and make reliable predictions.
There is no such thing as a general pattern. Depending on the variables and the relationship between them, you can have points all over the plot, exactly on a straight line or a curve, or close to such a line or curve.
a scatter graph
A straight line of points going from top left towards bottom right.
Scatter Graph
A scatter plot
Points slope down as it moves to the right
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
It is called the line of best fit
a graph in which the values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present. Scatter plots are similar to line graphs in that they use horizontal and vertical axes to plot data points. However, they have a very specific purpose. Scatter plots show how much one variable is affected by another. The relationship between two variables is called their correlation .
No, it is not possible to make accurate predictions based on a scatter plot with no correlation. A scatter plot with no correlation means that the data points are randomly scattered and do not follow any specific pattern or trend. Without a correlation, it is difficult to establish a relationship between the variables and make reliable predictions.
A scatter plot will show the data points on a straight line through the origin, whose slope is the constant of proportionality.
There is no such thing as a general pattern. Depending on the variables and the relationship between them, you can have points all over the plot, exactly on a straight line or a curve, or close to such a line or curve.
It can showwhether or not there is any relationship between two variables,the nature of the relationship - linear, quadratic, inverse, power etc,precision of relationship: the spread or scatter around the curve of best fit,whether the scatter is constant or changes (heteroscedasticity),presence of outliers,clustering (eg heights v/s weight of adults may show one cluster of points for men and another for women. If so, gender is another relevant variable).
a scatter graph
Yes if all points are on the same line of best fit
A straight line of points going from top left towards bottom right.