As an upgrade, we have eliminated the need to pass in the model name as explainX is smart enough to identify the model type and problem type i.e. classification or regression, by itself. You can access multiple modules: Module 1: Dataframe with Predictions ...
This indicates that the bias we found in average Ellenberg indicator values cannot be explained by measurement errors or by regression to the mean. In the end, Smart & Scott, as we did, come to the conclusion that there is a bias present and that separate regression lines per vegetation ...
Results of binary logistic regression indicated that (a) the majority of the participants socialized outside of their home neighborhoods; (b) 13- to 20-year-olds utilized social circles to meet casual sex partners significantly more than 21- to 29-year-olds, who were more likely to make use...
|Source| DF| SS| MS| F |Regression| 1| 70| | |Error| | | | |Total| 29| 590| | b. How large was the sample? c. Determine the standard error of estimate. d. Determine the coefficient of determination. ANOVA test for means: The chickwts data frame has 71 rows and 2 columns f...
In sexual strategies theory (SST), risky behaviour such as crime is the outcome of males' sexual reproduction strategies. Using panel data from South Africa, one of the countries with the highest crime rates in the world, a random-effects GLS regression finds support for the SST as an ...
We use hypothesis testing to better understand the validity of our regression results. Describe the difference between a t-test and an F-test. What can each of them test for? What is the purpose of regression analysis? What's the interpretation of a parameter in a regression?
Only significant regression values (P < 0.05) are shown. 3.3. Links among plant community traits and ANPP Plant community traits, such as LTcom, LAcom, and SLAcom, can be strongly related to the ANPP of forest communities across the natural restoration chronosequence. In particular, ANPP ...
but for late-stage cells with two HEI10 foci (data from 177 bivalents). Lines: linear regression best-fits (least-squares); colour-coded by stage. Right: distributions of HEI10 focus intensity for cases with 1, 2, 3 late HEI10 foci relative to sum of all HEI10 foci intensities in ...
We also estimate multivariate regression models to compare the influence of Florida's measures to those of more traditional indicators of economic competitiveness on metropolitan job growth, income growth, and job instability. Results and conclusions: We find that differences in Florida's measures of ...
N = 224, df = 216, R2 (marginal = 0.51, conditional = 0.52, AIC = 55.85). Random effect included bird identity (0.37; 95% confidence interval, CI = 0.41, 0.33) and the residual variance (0.13; 95% CI = 0.10, 0.27). Significant results (P < 0.05) are highlighted in bold. a Ye...