Difference between revisions of "Manuals/calci/MPEARSON"
Jump to navigation
Jump to search
| (8 intermediate revisions by 2 users not shown) | |||
| Line 19: | Line 19: | ||
*Suppose the array contains text, logicl values or empty cells, like that values are not considered. | *Suppose the array contains text, logicl values or empty cells, like that values are not considered. | ||
*This function will return the result as error when the number of values are different for <math> Array of Arrays </math> | *This function will return the result as error when the number of values are different for <math> Array of Arrays </math> | ||
| + | |||
| + | ==Examples== | ||
| + | 1. | ||
| + | {| class="wikitable" | ||
| + | |+Spreadsheet | ||
| + | |- | ||
| + | ! !! A !! B !! C | ||
| + | |- | ||
| + | ! 1 | ||
| + | | 5 || 9 || 10 | ||
| + | |- | ||
| + | ! 2 | ||
| + | | 8 || 12 || 15 | ||
| + | |} | ||
| + | MPEARSON(A1:C1,A2:C2) | ||
| + | {| class="wikitable" | ||
| + | |- | ||
| + | | 1 || 0.9686196045011367 | ||
| + | |- | ||
| + | | 0.9686196045011367 || 1 | ||
| + | |} | ||
| + | 2. MPEARSON([[15,18,20,24],[-3,-8,43,31]]) | ||
| + | {| class="wikitable" | ||
| + | |- | ||
| + | | 1 || 0.7113828912825356 | ||
| + | |- | ||
| + | | 0.7113828912825356 || 1 | ||
| + | |} | ||
| + | |||
| + | ==Related Videos== | ||
| + | |||
| + | {{#ev:youtube|v=zt1K9qhFdfQ&t=191s|280|center|Pearson Product Moment Correlation}} | ||
| + | |||
| + | ==See Also== | ||
| + | *[[Manuals/calci/INTERCEPT | INTERCEPT ]] | ||
| + | *[[Manuals/calci/SLOPE | SLOPE ]] | ||
| + | |||
| + | ==References== | ||
| + | [http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient Pearson] | ||
| + | |||
| + | |||
| + | |||
| + | |||
| + | *[[Z_API_Functions | List of Main Z Functions]] | ||
| + | |||
| + | *[[ Z3 | Z3 home ]] | ||
Latest revision as of 14:14, 6 December 2018
MPEARSON (ArrayOfArrays)
- is the array of two set of independent values.
.
Description
- This function gives the Pearson Product-Moment Correlation Coefficient.
- It is denoted by PPMC, which shows the linear relationship between two variables.
- It is a measure of the strength of a linear association between two variables .
- The two variables and , giving a value between +1 and −1 inclusive.
- Here
+1 indicates the perfect positive correlation, 0 indicates no correlation -1 indicates the perfect negative correlation.
- The formula for PPMC, is defined by:
where and are Average of the two Samples and .
- In , the value of must be either numbers or names, array,constants or references that contain numbers.
- Suppose the array contains text, logicl values or empty cells, like that values are not considered.
- This function will return the result as error when the number of values are different for
Examples
1.
| A | B | C | |
|---|---|---|---|
| 1 | 5 | 9 | 10 |
| 2 | 8 | 12 | 15 |
MPEARSON(A1:C1,A2:C2)
| 1 | 0.9686196045011367 |
| 0.9686196045011367 | 1 |
2. MPEARSON([[15,18,20,24],[-3,-8,43,31]])
| 1 | 0.7113828912825356 |
| 0.7113828912825356 | 1 |
Related Videos
See Also
References