When the data points form a straight line on the graph, the relationship between the variables is linear, as shown in Chart 5.6.
What does a straight line on a scatter plot mean?
A scatterplot displays a relationship between two sets of data. … The closer the data points come to forming a straight line when plotted,
the higher the correlation between the two variables
, or the stronger the relationship.
What type of relationship is shown by the scatter plot?
A scatter plot can show
a positive relationship
, a negative relationship, or no relationship. 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.
How do you interpret a relationship on a scatter plot?
You interpret a scatterplot by
looking for trends in the data as you go from left to right
: If the data show an uphill pattern as you move from left to right, this indicates a positive relationship between X and Y. As the X-values increase (move right), the Y-values tend to increase (move up).
How do you explain a trend line?
A trendline is a
line drawn over pivot highs or under pivot lows to show the prevailing direction of price
. Trendlines are a visual representation of support and resistance in any time frame. They show direction and speed of price, and also describe patterns during periods of price contraction.
Which two points should the line of best fit?
(3,8) and (5,12)
are two points should the line of best fit go through to best represent data in the scatter plot.
What type of relationship exists between the two variables?
Correlation is a measure of association that tests whether a relationship exists between two variables. It indicates both the strength of the association and its direction (direct or inverse). The Pearson product-moment correlation coefficient, written as r, can describe a
linear relationship
between two variables.
What does a negative linear relationship look like?
The slope of a line describes a lot about the linear relationship between two variables. … If the slope is negative, then there is a negative linear relationship, i.e., as
one increases the other variable decreases
. If the slope is 0, then as one increases, the other remains constant.
How can you tell if a scatter plot is negative or positive?
We often see patterns or relationships in scatterplots. When the y variable tends to increase as the x variable increases, we say there is a positive correlation between the variables.
When the y variable tends to decrease as the x variable increases
, we say there is a negative correlation between the variables.
What’s a strong positive correlation?
A positive correlation—when the correlation coefficient is greater than 0—signifies that both variables move in the same direction. … The
relationship between oil prices and airfares
has a very strong positive correlation since the value is close to +1.
What does scatter plot tell you?
Scatter plots show
how much one variable is affected by another
. The relationship between two variables is called their correlation . … If the data points make a straight line going from the origin out to high x- and y-values, then the variables are said to have a positive correlation .
What is a perfect positive correlation?
A perfectly positive correlation means that
100% of the time
, the variables in question move together by the exact same percentage and direction. A positive correlation can be seen between the demand for a product and the product’s associated price. … A positive correlation does not guarantee growth or benefit.
What is a positive and negative trend?
key idea. A scatter plot shows a
positive trend if y tends to increase as x increases
. A scatter plot shows a negative trend if y tends to decrease as x increases.
Are trend lines always straight?
When you fit a trendline to your data, Graph automatically calculates its R-squared value. If you want, you can display this value on your chart. A linear trendline is a
best-fit straight line
that is used with simple linear data sets. Your data is linear if the pattern in its data points resembles a line.
How do you use the line of best fit to predict?
A line of best fit is
drawn through a scatterplot to find the direction of an association between two variables
. This line of best fit can then be used to make predictions. To draw a line of best fit, balance the number of points above the line with the number of points below the line.
