Yes, a scatter plot can have two or more points with the same y-value. This occurs when multiple data points share the same value on the vertical axis but differ on the horizontal axis. In such cases, the points will be plotted vertically aligned at that y-value, which can indicate clustering or repeating measurements at that particular level.
no
If ( x ) increases and ( y ) decreases, this relationship is shown on a scatter plot as a downward slope from left to right. The points will trend downward, indicating that as the values of ( x ) rise, the corresponding values of ( y ) fall. This pattern reflects a negative correlation between the two variables.
To find the slope of a scatter plot, you can use the formula for the slope (m) of a line, which is ( m = \frac{y_2 - y_1}{x_2 - x_1} ). First, select two points on the plot, labeled as (x1, y1) and (x2, y2). Then, calculate the difference in the y-values divided by the difference in the x-values. This gives you the average rate of change between those two points, which represents the slope of the trend in the scatter plot.
The line given to the values of y on a scatter plot is called the "line of best fit" or "regression line." This line represents the relationship between the variables and minimizes the distance between itself and the data points in the scatter plot. It helps to visualize trends and make predictions based on the data.
If you have 2 sets of data, one that is independent and one that is dependent (I will assume this because relating two sets of unrelated data is useless), then you plot the independent on the x and the dependent on the y and assess how y changes in relation to x
no
Dependent variable
If ( x ) increases and ( y ) decreases, this relationship is shown on a scatter plot as a downward slope from left to right. The points will trend downward, indicating that as the values of ( x ) rise, the corresponding values of ( y ) fall. This pattern reflects a negative correlation between the two variables.
The x is the domain, and the y is the range. (:
To find the slope of a scatter plot, you can use the formula for the slope (m) of a line, which is ( m = \frac{y_2 - y_1}{x_2 - x_1} ). First, select two points on the plot, labeled as (x1, y1) and (x2, y2). Then, calculate the difference in the y-values divided by the difference in the x-values. This gives you the average rate of change between those two points, which represents the slope of the trend in the scatter plot.
The line given to the values of y on a scatter plot is called the "line of best fit" or "regression line." This line represents the relationship between the variables and minimizes the distance between itself and the data points in the scatter plot. It helps to visualize trends and make predictions based on the data.
If you have 2 sets of data, one that is independent and one that is dependent (I will assume this because relating two sets of unrelated data is useless), then you plot the independent on the x and the dependent on the y and assess how y changes in relation to x
Measure the distance between the point where the line intercepts the Y axis and the origin
The title of the y-axis in Paul's scatter plot is most likely "amount of money spent." A negative association suggests that as the minutes spent at the mall increases, the amount of money spent decreases, indicating that longer visits might not correlate with higher spending.
Scatter-plot shows correlation between two different variables (one on the y-axis, the other on x-axis). If there is linear correlation, the scatter-points form a straight line from zero (origo) to some direction. The more cloud-like distribution the scatter-plot does have, the less those variables in question have correlation or dependence with each other.
A right hyperbola shape.
You plot your data as points on a Cartesian coordinate system (X/Y graph). You chose "Scatter" from the chart type in your spreadsheet program.