Positive Correlation
It equels 10* * * * *The answer depends on the values of x and y.
On an x-y graph, the line y=x is a diagonal from bottom left to top right when x and y increase at the same rate. If values of x increase faster than values of y, then the line would curve away from the y-axis.
Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.Find the approximate middle of the x values and call it p.Find the approximate middle of the y values and call it q.Draw horizontal and vertical lines through the point with coordinates (p, q).If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.Find the approximate middle of the x values and call it p.Find the approximate middle of the y values and call it q.Draw horizontal and vertical lines through the point with coordinates (p, q).If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.Find the approximate middle of the x values and call it p.Find the approximate middle of the y values and call it q.Draw horizontal and vertical lines through the point with coordinates (p, q).If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.Find the approximate middle of the x values and call it p.Find the approximate middle of the y values and call it q.Draw horizontal and vertical lines through the point with coordinates (p, q).If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!
when the x and y values of both equations are equal, because the point of intersection will only have one x value and one y value
Traditionally y is a function of x and hence it is dependent. Graphically as well various values of x result in corresponding values of y; showing the dependence of y on x.
No. The ratio of consecutive values of y for equal x-intervals will be approx constant.
When it is said that x and y have a positive correlation, it implies that as the value of x increases, the value of y tends to increase as well. This relationship suggests that there is a direct association between the two variables, meaning that higher values of one are associated with higher values of the other. Positive correlation can be quantified using a correlation coefficient, typically ranging from 0 to 1, where values closer to 1 indicate a stronger correlation.
what is a program x and y
It equels 10* * * * *The answer depends on the values of x and y.
It equels 10* * * * *The answer depends on the values of x and y.
To determine the pattern of the x and y values, one would typically look for relationships such as linearity, proportionality, or trends in the data points. For example, if the x values increase consistently and the y values also show a corresponding increase, it may indicate a positive correlation. Alternatively, if the y values decrease as x values increase, this could suggest a negative correlation. Identifying specific mathematical relationships, such as linear equations or quadratic functions, would also help clarify the pattern.
Assume that you are correlating two variables x and y. If there is an increasing relationship between x and y, (that is , the graph of y=a+bx, slopes upward), the correlation coefficient is positive. Similarly, if there is a decreasing relationship, the correlation coefficient is negative. The correlation coefficient can assume values only between -1 and 1.
When x and y values of points agree in a linear relationship
ρx,y=cov(x,y)/sqrt[Var(x)*Var(y)]
If ( x = 16 ) and ( y = -16 ), then their combination ( x + y = 0 ) holds true. Thus, the values of ( x ) and ( y ) are 16 and -16, respectively.
Domain (input or 'x' values): -∞ < x < ∞.Range (output or 'y' values): -2 ≤ y ≤ 2.
That depends on the values of x and y.