How do you describe the correlation of a scatter plot?
Scatter plots show how much one variable is affected by another. The relationship between two variables is called their correlation . The closer the data points come when plotted to making a straight line, the higher the correlation between the two variables, or the stronger the relationship.
What is scatter diagram how do you interpret a scatter diagram?
The scatter diagram graphs pairs of numerical data, with one variable on each axis, to look for a relationship between them. If the variables are correlated, the points will fall along a line or curve. The better the correlation, the tighter the points will hug the line.
What is a positive trend in a scatter plot?
Scatter Plots show a positive trend if y tends to increase as x increases or if y tends to decrease as the x decreases. ▪ Scatter Plots show a negative trend if one value tends to increase and the other tends to decrease.
What is a positive scatter plot?
The slope of the line is positive (small values of X correspond to small values of Y; large values of X correspond to large values of Y), so there is a positive co-relation (that is, a positive correlation) between X and Y. …
Which graph shows a positive correlation?
scatter plot
The scatter plot shows a positive correlation.
Which scatterplot shows a positive correlation?
If the points on the scatter plot seem to form a line that slants up from left to right, there is a positive relationship or positive correlation between the variables.
What does a positive trend line mean?
A trend line, often referred to as a line of best fit, is a line that is used to represent the behavior of a set of data to determine if there is a certain pattern. Determining if a set of points exhibits a positive trend, a negative trend, or no trend at all.
What is a negative trend in a scatter plot?
Scatter Plots show a negative trend if one value tends to increase and the other tends to decrease. ▪ A scatter plot shows no trend (correlation) if there is no obvious pattern.
