multiple linear regressionOmo‐TurkanaRandom ForestDeltas, being areas where river sediments accumulate, are sensitive to changes in climate and anthropogenic processes that affect sediment generation. The Omo Delta, on the Ethiopia–Kenya border, is constantly changing due to fluctuating lake levels, a...
Our regression model controls for heterogeneity in users’ social influence (see Supplementary TableS1). In short, rumor cascades initiated from accounts that are verified and younger are linked to a larger, longer, and more viral spread. Similar relationships are observed for users exhibiting greater...
Beginning with multiple linear regression, this study found there were relationships between several severe weather parameters, such as thunderstorm and heavy precipitation events, and these known global circulation and SST indices. However, Rvalues showed that SST indices had more significance with severe...
(x_test) # uploading global model explanation data for storage or visualization in webUX # the explanation can then be downloaded on any compute # multiple explanations can be uploaded client.upload_model_explanation(global_explanation, comment='global explanation: all features') # or you can ...
This result extends the previous findings on linear regression46 to the large class of rotation invariant kernels. (5) When all stages are considered, it is possible to observe learning curves with multiple descents with at most one peak per stage. The presence and size of the descent peak...
Cross-sectional associations between adiposity measures and \\{C3\\} and the mediating role of low-grade inflammation and/or HOMA2-IR herein were analysed with multiple linear regression models. Results Adiposity measurements were significantly associated with \\{C3\\} levels, with the strongest (...
Following Jegadeesh (1991), we employ regression tests of the long-horizon predictability of stock returns in which the dependent variable is a 1 month return, the independent variable is a lagged multiple month return, and the coefficient on the lagged return is negative given mean reversion. Ri...
from Chapter 10 / Lesson 9 17K Hypothesis testing for a proportion seeks to determine where a statistic falls within a specified range, typically from multiple-choice questions. Learn the conditions and procedures used in hypothesis testing for proportions. Related to this Question...
Subsequently, multiple linear regression analysis with the (log-transformed) number of potential CS+ and CS− offset vmPFC pattern reactivations at all resting-states scans (day 2) as independent and CRs (mean SCR CS+ > CS−) at test (day 3) as dependent variable was performed (...
of the regression analysis indicated that the four predictors explained 76% of the variance (multiple linear model,R2 = 0.76,F15,24 = 5.06,p < 0.001). More specifically, we found that the factor CONDITION (same multiple linear model,β = 2.51e-25,t24 = 2.38,p ...