#VERTICAL LINE SPSS CODE HOW TO#

The purpose of this guide is to show you how to create a simple scatterplot using SPSS Statistics. A simple scatterplot could also be used to determine if there is a linear relationship between the distance women can run in 30 minutes and their VO 2max, which is a measure of fitness (i.e., your dependent variable would be 'distance run' and your independent variable would be 'VO 2max'). Note: If you are analysing your data using an ANCOVA (analysis of covariance) or two-way ANOVA, for example, you will need to consider a grouped scatterplot instead (N.B., if you need help creating a grouped scatterplot using SPSS Statistics, we show you how in our enhanced content).ДЇor example, a simple scatterplot could be used to determine if there is a linear relationship between lawyers' salaries and the number of years they have practiced law (i.e., your dependent variable would be 'salary' and your independent variable would be 'years practicing law'). For example, determining whether a relationship is linear (or not) is an important assumption if you are analysing your data using Pearson's product-moment correlation, Spearman's rank-order correlation, simple linear regression, multiple regression, amongst other statistical tests. There are two potential outliers in distribution A.A Simple Scatterplot using SPSS Statistics IntroductionДЄ simple scatterplot can be used to (a) determine whether a relationship is linear, (b) detect outliers and (c) graphically present a relationship between two continuous variables. According to the definition used by the function in R software, all values higher than Q3 + 1.5 x (Q3 - Q1) = 0.32 + 1.5 x 0.30 = 0.77 are outside the right whisker and indicated by a circle. The distribution C is negatively skewed because the whisker and half-box are longer on the left side of the median than on the right side.ДЄll three distributions include potential outliers. The centre of distribution C is the highest of the three distributions (median is 0.88).ItвЂ™s the most concentrated distribution because the interquartile range is 0.21, compared to 0.30 for distribution A and 0.26 for distribution C. Distribution B is approximately symmetric, because both half-boxes are almost the same length (0.11 on the left side and 0.10 on the right side).The distribution is positively skewed, because the whisker and half-box are longer on the right side of the median than on the left side. The centre of distribution A is the lowest of the three distributions (median is 0.11).The information is grouped by Measurement (appearing as row headers), Distribution A, Distribution B and Distribution C (appearing as column headers). This table displays the results of Data table for chart 4.5.2.1. Example 1 вЂ“ Comparison of three box and whisker plots Data points that are outside this interval are represented as points on the graph and considered potential outliers. That is, the whisker reaches the value that is the furthest from the centre while still being inside a distance of 1.5 times the interquartile range from the lower or upper quartile. The box and whisker plot can be presented horizontally, like in figureВ 4.5.2.1, or vertically.ДЄ variation of the box and whisker plot restricts the length of the whiskers to a maximum of 1.5 times the interquartile range.The graph is usually presented with an axis that indicates the values (not shown on figureВ 4.5.2.1).The whiskers are the two lines outside the box, that go from the minimum to the lower quartile (the start of the box) and then from the upper quartile (the end of the box) to the maximum.Sometimes, the mean is also indicated by a dot or a cross on the box plot. The vertical line that split the box in two is the median.The box covers the interquartile interval, where 50% of the data is found. The left and right sides of the box are the lower and upper quartiles.The figure shows the shape of a box and whisker plot and the position of the minimum, lower quartile, median, upper quartile and maximum. A box plot is ideal for comparing distributions because the centre, spread and overall range are immediately apparent.ДЇigureВ 4.5.2.1 shows how to build the box and whisker plot from the five-number summary. It doesnвЂ™t show the distribution in as much detail as histogram does, but itвЂ™s especially useful for indicating whether a distribution is skewed and whether there are potential unusual observations (outliers) in the data set. The box and whisker plot, sometimes simply called the box plot, is a type of graph that help visualize the five-number summary.

Vertical line spss code