| Model Info | |||
|---|---|---|---|
| Info | |||
| Estimate | Linear model fit by OLS | ||
| Call | vd ~ 1 + fac + cov | ||
| R-squared | 0.90600 | ||
| Adj. R-squared | 0.89515 | ||
| [3] | |||
| ANOVA Omnibus tests | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS | df | F | p | η² | η²p | ||||||||
| Model | 6205.55276 | 3 | 83.52980 | < .001 | 0.90600 | 0.90600 | |||||||
| fac | 1812.91037 | 2 | 34.28149 | < .001 | 0.30537 | 0.76463 | |||||||
| cov | 4392.64239 | 1 | 166.12659 | < .001 | 0.60063 | 0.86467 | |||||||
| Residuals | 687.47996 | 26 | |||||||||||
| Total | 6893.03272 | 29 | |||||||||||
| Fixed Effects Parameter Estimates | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95% Confidence Interval | |||||||||||||||||||
| Names | Effect | Estimate | SE | Lower | Upper | β | df | t | p | ||||||||||
| (Intercept) | (Intercept) | 45.13701 | 0.93882 | 43.20723 | 47.06678 | 0.00000 | 26 | 48.07840 | < .001 | ||||||||||
| fac1 | 2 - 1 | 9.55874 | 2.31078 | 4.80887 | 14.30861 | 0.60192 | 26 | 4.13659 | < .001 | ||||||||||
| fac2 | 3 - 1 | 19.06940 | 2.30309 | 14.33533 | 23.80347 | 1.20081 | 26 | 8.27992 | < .001 | ||||||||||
| cov | cov | 0.48213 | 0.03741 | 0.40524 | 0.55902 | 0.78431 | 26 | 12.88901 | < .001 | ||||||||||
| Model Info | |||
|---|---|---|---|
| Info | |||
| Estimate | Linear model fit by OLS | ||
| Call | vd ~ 1 + cov + fac | ||
| R-squared | 0.90600 | ||
| Adj. R-squared | 0.89515 | ||
| [3] | |||
| ANOVA Omnibus tests | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS | df | F | p | η² | η²p | ||||||||
| Model | 6205.55276 | 3 | 83.52980 | < .001 | 0.90600 | 0.90600 | |||||||
| cov | 4392.64239 | 1 | 166.12659 | < .001 | 0.65811 | 0.87502 | |||||||
| fac | 1812.91037 | 2 | 34.28149 | < .001 | 0.24789 | 0.72505 | |||||||
| Residuals | 687.47996 | 26 | |||||||||||
| Total | 6893.03272 | 29 | |||||||||||
| Fixed Effects Parameter Estimates | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95% Confidence Interval | |||||||||||||||||||
| Names | Effect | Estimate | SE | Lower | Upper | β | df | t | p | ||||||||||
| (Intercept) | (Intercept) | 45.13701 | 0.93882 | 43.20723 | 47.06678 | 0.00000 | 26 | 48.07840 | < .001 | ||||||||||
| cov | cov | 0.48213 | 0.03741 | 0.40524 | 0.55902 | 0.78431 | 26 | 12.88901 | < .001 | ||||||||||
| fac1 | 2 - 1 | 9.55874 | 2.31078 | 4.80887 | 14.30861 | 0.60192 | 26 | 4.13659 | < .001 | ||||||||||
| fac2 | 3 - 1 | 19.06940 | 2.30309 | 14.33533 | 23.80347 | 1.20081 | 26 | 8.27992 | < .001 | ||||||||||
[1] The jamovi project (2021). jamovi. (Version 2.0) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2021-04-01).
[3] Gallucci, M. (2019). GAMLj: General analyses for linear models. [jamovi module]. Retrieved from https://gamlj.github.io/.