Correlation / regressionFor paired observations, determines whether one is proportional to the other and gives the equation for the best-fit straight line (least squares).
Y variables and X variables to be compared. Tests with matching Y and X variables are not allowed.
Where one value of any data pair is missing, both values are ignored.
Select one or more Y variables and one or more X variables (See Selecting variables for details). Output will be produced for each pair of Y and X variables, dependant on the block mode selected.
Defines how the Y variables and X variables are compared. (See Performing multiple analyses for details)
Allows you to choose a graph to accompany your output. Available options are:
The default graph can be selected in Preferences
Allows you to specify an optional subtitle which will be included in the statistical output.
Allows you to select rows for analysis based upon conditions in other variables (See Filtering datasets for details)
Opens the help system for this dialog.
Sends the output from this analysis to a new OxonStat Dataset. See Dataset output for more details.
Sends the output from this analysis to a printer.
Cancels the analysis and closes the dialog.
Displays the output from this analysis in the Results window.
| OxonStat | 20:40, 12 Aug 2023 |
| Correlate: | Weight_1 with Age | |
| Subtitle: | <none> | |
| Statistic: | Correlation / Regression | |
| Dataset: | OxonStat Demo | |
| Range: | Row 1 [Green] to Row 38 [Hall] | |
| Filter: | <no filter> | |
| Count: | 38 of 38 rows selected | |
| Sum squares | Variance | Mean | |
| Weight_1 | 17050.4512 | 460.8230 | 81.8842 |
| Age | 2181.6340 | 58.9631 | 56.0447 |
| Covariance | -1953.3430 | -52.7931 | |
| Regression | 425.0420 |
| r | t | df | p |
| -0.3203 | 2.028 | 36 | 0.0500 |
| Value | SE | 95% CI | |
| Slope | -0.8954 | 0.4414 | -1.7905 to -0.0002 |
| Intercept | 132.0643 | 24.9628 | 81.4374 to 182.6912 |