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.
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
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.
no
Dependent variable
The x is the domain, and the y is the range. (:
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 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.
Measure the distance between the point where the line intercepts the Y axis and the origin
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
A right hyperbola shape.
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.
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.
In a scatter plot that is an exponential model, data can appear to be growing in incremental rates. In this type of model the data will only cross the Y-axis at one point.
You have to put a line of best fit onto the graph and find where that line crosses the y-axis.