A straight line graph plotted on the Cartesian plane
A straight line which is not vertical.
The graph is a straight line.
If the graph is a straight line through the origin, sloping upwards to the right, then it is a proportional linear relationship.
The graph of a linear proportion will be a straight line passing through the origin. The equation will have the form y = mx, also written as y = kx.
It suggests that there is very little evidence of a linear relationship between the variables.
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a straight line[apex]
a straight line[apex]
A straight line which is not vertical.
A linear relationship will show up on a graph as a straight line.
To determine if a relationship is linear from a table, check if the differences in the y-values (output) corresponding to equal differences in the x-values (input) are constant. For a graph, a linear relationship will appear as a straight line. In an equation, if the equation can be expressed in the form (y = mx + b), where (m) and (b) are constants, it indicates a linear relationship.
Linear = Straight line! So, a graph of a linear relationship is a straight line.
The answer depends on what you mean by "A".
You can decide from a graph wheter a ralationship is linear or non linear if the line is staight is linear but if the line is not straight is not linear.
A straight line on a graph indicates a linear relationship between the variables. This means that as one variable changes, the other variable changes at a constant rate. The slope of the line represents the rate of change, while the y-intercept indicates the value of one variable when the other is zero. In summary, a straight line signifies that the relationship between the variables can be described by a linear equation.
The graph is a straight line.
To determine if a relationship is non-linear from a graph, look for patterns that do not form a straight line when plotting the data points. If the points curve or show a distinct pattern, such as a U-shape or an exponential increase, the relationship is likely non-linear. Additionally, analyzing the residuals from a linear regression can reveal non-linearity; if the residuals show a pattern rather than being randomly scattered, it indicates a non-linear relationship.