Which statement about scatter plots is true? A. Associated variables cannot be represented on scatter plots B. A regression line
must pass through all the points on the scatter plot. C. A regression line cannot help predict future values of variables. D. Scatter plots can be used to represent quantitative data.
The statement that is true about the scatter plot is:
D. Scatter plots can be used to represent quantitative data.
<h2>Step-by-step explanation:</h2>
We know that a scatter plot is a graphical representation of a data that is used to display two variables for a set of given data.
It is used to display categorical and quantitative data.
Also, there is some correlation between the two variables or there may be no relation or correlation between the two variables.
Also, the trend line or regression line is a line that best represents the data point and hence , all of the data points or some of the data points or none of the data points may lie above the regression line.
A scatter plot or also called the scatter graph, chart or diagram is a type of plot or mathematical diagram using Cartesian coordinates to display value for typically two variables for set of data. Base on that fact, the possible answer to your question is letter D. Scatter plot can be used to represent quantitative data
Answer: the areas of irregular shapes can be find by calculating the areas. To find area of a figure which is a combination of rectangles and a squares, you have to calculate the area of each figure separately and then add them to find total area.
