Difference between revisions of "Manuals/calci/MCORREL"
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*Here x and y are viewed as the independent variables and z is the dependent variable. | *Here x and y are viewed as the independent variables and z is the dependent variable. | ||
*This function will give the result as error when | *This function will give the result as error when | ||
− | 1.<math>Array of Arrays</math> are non-numeric or different number of data points. | + | 1.<math>Array of Arrays</math> are non-numeric or different number of data points. |
− | 2.<math>Array of Arrays </math>is empty | + | 2.<math>Array of Arrays </math>is empty |
− | 3.The denominator value is zero. | + | 3.The denominator value is zero. |
==Examples== | ==Examples== | ||
+ | 1. MCORREL([[10,12,14],[19,43,18],[20,35,90]]) | ||
+ | {| class="wikitable" | ||
+ | |- | ||
+ | | 1 || -0.035325913054179946 || 0.9496528264568825 | ||
+ | |- | ||
+ | | -0.035325913054179946 || 1 || -0.3466559828504114 | ||
+ | |- | ||
+ | | 0.9496528264568825 || -0.3466559828504114 || 1 | ||
+ | |} | ||
+ | 2. MCORREL([[10,19,18],[-24,90.3,25]]) | ||
+ | {| class="wikitable" | ||
+ | |- | ||
+ | | 1 || 0.8755550584018907 | ||
+ | |- | ||
+ | | 0.8755550584018907 || 1 | ||
+ | |} | ||
+ | |||
+ | ==Related Videos== | ||
+ | |||
+ | {{#ev:youtube|v=L3Nx7WpozCA|280|center|Multiple Correlation}} | ||
==See Also== | ==See Also== |
Latest revision as of 11:58, 25 April 2019
MCORREL (ArrayOfArrays)
- is set of values.
Description
- This function is showing the result for multiple correlation.
- In , are set of values.
- Correlation is a statistical technique which shows the relation of strongly paired variables.When one variable is related to a number of other variables, the correlation is not simple.
- It is multiple if there is one variable on one side and a set of variables on the other side.
- If we have a series of measurements of and written as and where then the Sample Correlation Coefficient is:
- and are the sample means of and .
- The above formula is used for simple correlation.
- Now consider the variables x,y and z we define the multiple correlation as:
- is the correlation of x and y.
- is the correlation of y and z.
- is the correlation of z and x.
- Here x and y are viewed as the independent variables and z is the dependent variable.
- This function will give the result as error when
1. are non-numeric or different number of data points. 2.is empty 3.The denominator value is zero.
Examples
1. MCORREL([[10,12,14],[19,43,18],[20,35,90]])
1 | -0.035325913054179946 | 0.9496528264568825 |
-0.035325913054179946 | 1 | -0.3466559828504114 |
0.9496528264568825 | -0.3466559828504114 | 1 |
2. MCORREL([[10,19,18],[-24,90.3,25]])
1 | 0.8755550584018907 |
0.8755550584018907 | 1 |