Multiple linear regressionDetermines the linear relationship existing between a variable and two or more other variables, i.e. multiple correlation.
Y variables and X variables to be compared. The number of observations provided must be more than the number of independent variables.
Where one Variable of a dataset is missing, that whole observation is ignored.
Select one or more Y variables and two or more X variables (See Selecting variables for details). Output will be produced for each Y variable comparing it with all X variables.
For this test a special One to Many mode is used. Performing as many tests as you have Y variables selected.
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 | 20:43, 12 Aug 2023 |
| Y data: | Weight_1 | |
| X data: | Age, Gender and Sys_BP | |
| Subtitle: | <none> | |
| Statistic: | Multiple Linear Regression | |
| Dataset: | OxonStat Demo | |
| Range: | Row 1 [Green] to Row 38 [Hall] | |
| Filter: | <no filter> | |
| Count: | 38 of 38 rows selected | |
| r-square | 0.139 |
| Source | Sum squares | Mean Square | df | F | p |
| Regression | 2362.4893 | 787.4964 | 3 | 1.823 | 0.1599 |
| Residual | 14687.9639 | 431.9989 | 34 | ||
| Total | 17050.4531 | 460.8231 | 37 |
| Variable | B | SE | Beta | t | p |
| Age | -1.0292 | 0.4598 | -0.3681 | -2.238 | 0.0323 |
| Gender | 1.5025 | 7.8952 | 0.0312 | 0.190 | 0.8503 |
| Sys_BP | 0.2245 | 0.2049 | 0.1857 | 1.096 | 0.2812 |
| Intercept | 107.7854 |
| Age | Gender | Sys_BP | |
| Age | 0.2114 | 0.0786 | -0.0234 |
| Gender | 62.3348 | -0.3892 | |
| Sys_BP | 0.0420 |
| OxonStat | 20:43, 12 Aug 2023 |
| Y data: | Height | |
| X data: | Age, Gender and Sys_BP | |
| Subtitle: | <none> | |
| Statistic: | Multiple Linear Regression | |
| Dataset: | OxonStat Demo | |
| Range: | Row 1 [Green] to Row 38 [Hall] | |
| Filter: | <no filter> | |
| Count: | 38 of 38 rows selected | |
| r-square | 0.418 |
| Source | Sum squares | Mean Square | df | F | p |
| Regression | 1277.6525 | 425.8842 | 3 | 8.155 | 0.0003 |
| Residual | 1775.5975 | 52.2235 | 34 | ||
| Total | 3053.2500 | 82.5203 | 37 |
| Variable | B | SE | Beta | t | p |
| Age | -0.1566 | 0.1599 | -0.1324 | -0.979 | 0.3347 |
| Gender | -12.5473 | 2.7451 | -0.6164 | -4.571 | <0.0001 |
| Sys_BP | -0.0183 | 0.0712 | -0.0358 | -0.257 | 0.7988 |
| Intercept | 196.7372 |
| Age | Gender | Sys_BP | |
| Age | 0.0256 | 0.0095 | -0.0028 |
| Gender | 7.5355 | -0.0470 | |
| Sys_BP | 0.0051 |