This Type of Chart Shows Relationship Within a Family

5 Data Visualization
5.6 Scatter plot

Text begins

In scientific discipline, the scatterplot is widely used to nowadays measurements of 2 or more than related variables. It is particularly useful when the values of the variables of the y-centrality are idea to exist dependent upon the values of the variable of the x-centrality.

In a scatterplot, the data points are plotted merely not joined. The resulting pattern indicates the type and strength of the relationship between two or more than variables. Chart five.6.1 is an example of a scatterplot. Car ownership increases equally the household income increases, showing that there is a positive human relationship between these two variables.

Data table for Chart 5.six.1



Data table for Chart 5.vi.1
Table summary
This table displays the results of Data table for Chart 5.vi.ane. The data is grouped by Income ($) (appearing every bit row headers), Percentage (%) (appearing as column headers).

Income ($)	Percentage (%)
20,000	threescore
thirty,000	55
twoscore,000	75
50,000	85
60,000	82
seventy,000	97
80,000	87
90,000	90
100,000	95

The pattern of the information points on the scatterplot reveals the relationship betwixt the variables. Scatterplots can illustrate various patterns and relationships, such as:

• a linear or non-linear relationship,
• a positive (directly) or negative (inverse) relationship,
• the concentration or spread of data points,
• the presence of outliers.

Linear or not-linear relationship

When the data points form a straight line on the graph, the relationship between the variables is linear, as shown in Chart five.6.2, Role A. When the data points don't form a line or when they form a line that is not direct, like in Chart 5.6.2, Office B, the relationships betwixt variables is not linear.

Data table for Chart 5.six.ii



Information table for Chart 5.vi.ii
Table summary
This table displays the results of Information table for Chart v.6.2. The information is grouped by Variable X (appearing equally row headers), Variable Y1 (Part A) and Variable Y2 (Role B) (appearing as column headers).

Variable X	Variable Y1 (Part A)	Variable Y2 (Role B)
0	-3	-2
vii	4	-ii
13	nineteen	7
20	21	three
27	34	ten
33	24	-5
40	42	9
47	45	9
53	58	22
threescore	58	25
67	71	47
73	78	71
80	77	100
87	85	160
93	90	249
100	99	392
0 true zero or a value rounded to zilch

Positive or negative relationship

If the points cluster effectually a line that runs from the lower left to upper right of the graph area, then the relationship betwixt the 2 variables is said to be positive or direct (Nautical chart 5.6.three, Part A). If the points cluster around a line that runs from the upper left to the lower right of the graph area, and so the relationship is said to exist negative or inverse (Chart v.vi.3, Office B).

Information tabular array for Nautical chart 5.half dozen.iii



Data table for Chart 5.half-dozen.3
Table summary
This table displays the results of Data table for Chart 5.vi.three. The data is grouped by Variable X (actualization as row headers), Variable Y1 (Function A) and Variable Y2 (Part B) (appearing as column headers).

Variable X	Variable Y1 (Role A)	Variable Y2 (Office B)
0	-17	83
7	16	103
thirteen	20	93
20	fourteen	74
27	35	81
33	28	62
40	46	66
47	65	72
53	56	49
sixty	51	31
67	62	29
73	88	42
80	105	45
87	115	42
93	108	21
100	114	fourteen
0 truthful zero or a value rounded to naught

Concentration or spread of data points

Data points tin be close together (Nautical chart v.6.4, Function A) or spread widely across the graph area (Chart v.6.4, Part B).

Data table for Nautical chart 5.6.four



Data table for Chart 5.half dozen.4
Table summary
This table displays the results of Data table for Chart five.6.4. The information is grouped by Variable X1 (Office A) (appearing as row headers), Variable Y1 (Part A), Variable X2 (Part B) and Variable Y2 (Office B) (appearing as column headers).

Variable X1 (Part A)	Variable Y1 (Part A)	Variable X2 (Part B)	Variable Y2 (Part B)
44	51	4	37
42	51	25	32
48	51	64	60
49	46	15	xviii
38	46	51	18
41	52	60	54
55	51	20	70
l	58	35	24
54	41	15	55
59	48	47	62
42	49	62	13
55	49	35	6
52	46	60	81
46	57	65	sixteen
55	52	70	65

Presence of outliers

Likewise portraying relationships betwixt the variables, a scatterplot can as well show whether or not at that place are any outliers in the data. Outliers are data points that are far from the other points in the information ready, like the two points in red in Chart 5.6.v.

Data tabular array for Nautical chart 5.vi.5



Data tabular array for Chart five.6.5
Table summary
This table displays the results of Information tabular array for Chart five.6.five. The information is grouped by Variable Ten (actualization equally row headers), Variable Y and Symbol (appearing as cavalcade headers).

Variable 10	Variable Y	Symbol
0	-1	Black circle
7	1	Black circle
13	32	Black circumvolve
fifteen	83	Cerise triangle (potential outlier)
20	28	Blackness circumvolve
27	5	Black circle
28	95	Red triangle (potential outlier)
33	30	Black circle
xl	46	Black circle
47	29	Black circle
53	41	Black circumvolve
60	46	Black circle
67	29	Blackness circle
73	54	Blackness circle
80	52	Black circle
87	63	Black circle
93	59	Black circumvolve
100	82	Blackness circle
0 true naught or a value rounded to zip



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Date modified:

2021-09-02

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Source: https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/scatter-nuages/5214827-eng.htm