https://padlet.com/22_leo_beaver/1mykysapa4fd Made with charm en-us 2018-01-24 15:35:34 UTC 2025-05-18 14:46:50 UTC hello@padlet.com https://padlet-assets.s3.amazonaws.com/icons/Ninja.png 22_leo_beaver https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224274390 Positive correlation is a relationship between two variables in which both variables move in tandem. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.]]> 2018-01-24 15:45:15 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224274390 22_leo_beaver https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224274974 A correlation gives you a number, called r, which can range from 0.0 to 1.00 (or -1.00). Zero correlation means there is no relation between two variables. ... A correlation of 1.00 (either + or -) means perfect correlation.]]> 2018-01-24 15:46:17 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224274974 https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224275610 Scatter plots are similar to line graphs in that they use horizontal and vertical axes to plot data points. However, they have a very specific purpose. Scatter plots show how much one variable is affected by another. The relationship between two variables is called their correlation .]]> 2018-01-24 15:47:31 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224275610 22_leo_beaver https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224275759  Statistical correlation is measured by what is called the coefficient of correlation (r). ... Here r = +1.0 describes a perfect positive correlation and r = -1.0 describes a perfect negative correlation. The closer the coefficients are to +1.0 and -1.0, the greater the strength of the relationship between the variables. 

]]> 2018-01-24 15:47:46 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224275759 22_leo_beaver https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224276021  When data seems to be "gathered" around a particular value. For example: for the values 2, 6, 7, 8, 8.5, 10, 15, there is a cluster around the value 8. See: Outlier. Outliers.     ]]> 2018-01-24 15:48:13 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224276021 https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224276168 Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. In statistics, a perfect 
negative correlation is represented by the value -1.00, while a 0.00 indicates no correlation and a +1.00 indicates a perfect positive correlation]]> 2018-01-24 15:48:26 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224276168 https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224278327 Statistics 1 - Line of Best Fit. A line of best fit (or "trend" line) is a straight line that best represents the data on a scatter plot. This line may pass through some of the points, none of the points, or all of the points.]]> 2018-01-24 15:52:27 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224278327 https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224279217 Outlier. A value that "lies outside" (is much smaller or larger than) most of the other values in a set of data. For example in the scores 25,29,3,32,85,33,27,28 both 3 and 85 are "outliers"]]> 2018-01-24 15:53:59 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224279217 https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224279788 When two sets of data are strongly linked together we say they have a High Correlation. Here we look atlinear correlations (correlations that follow a line). Correlation can have a value: 1 is a perfect positive correlation.]]> 2018-01-24 15:54:57 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224279788 https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224282804 2018-01-24 16:00:16 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224282804 https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224283090 2018-01-24 16:00:49 UTC https://padlet.com/22_leo_beaver/1mykysapa4fd/wish/224283090