4 Does the scatter plot appear linear Strong or weak Positive or negative Figure 10. 3 Does the scatter plot appear linear Strong or weak Positive or negative Figure 10. When the data points don’t form a line or when they form a line that is not straight, like in Chart 5.6.2, Part B, the relationships between variables is not linear. 4 Answer The data appear to be linear with a strong, positive correlation. When the data points form a straight line on the graph, the relationship between the variables is linear, as shown in Chart 5.6.2, Part A. A positive correlation on a scatterplot is evidenced by an upward. the concentration or spread of data points, We can therefore conclude that the type of correlation shown in the scatter plot is a positive linear correlation. Positive correlation is a relationship between two variables in which both variables. ![]() a positive (direct) or negative (inverse) relationship, 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.Scatterplots can illustrate various patterns and relationships, such as: The pattern of the data points on the scatterplot reveals the relationship between the variables. The information is grouped by Income ($) (appearing as row headers), Percentage (%) (appearing as column headers). If r is positive, then as one variable increases, the other tends to increase. A correlation coefficient close to 0 suggests little, if any, correlation. ![]() This table displays the results of Data table for Chart 5.6.1. The sign of r corresponds to the direction of the relationship. Possible values of the correlation coefficient range from -1 to +1, with -1 indicating a perfectly linear negative, i.e., inverse, correlation (sloping downward) and +1 indicating a perfectly linear positive correlation (sloping upward).
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