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...
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 (...
Explain how do multiple linear regression and simple linear regression differ with control variables. What are the differences between regression and correlation analysis? What is multiple linear regression? How is it similar to simple linear regression? How is...
When performing multiple linear regression with an ANOVA table, there is a lot of information to be found within the table. One of the methods we use to determine the best model to use for a given situation is to consider the full model or the reduced model of...
A multiple linear regression analysis was conducted to replicate the differential effect of the paired reading intervention for parent and volunteer tutors on reading fluency at T2 with the reduced sample (without control group; c.f., Villiger et al., 2019). Reading fluency at T1, family backgr...
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 ...
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...
Data were analyzed with multiple linear regression and structural equation modeling. Vegetable sweetness and bitterness were independent predictors of more or less preference for sampled vegetables and vegetable intake, respectively. Those who taste PROP as most bitter also tasted the vegetables as...
(see below). Permission to process this dataset for the purpose of our study was granted by Twitter. This ensures a real-world, large-scale sample. Each rumor in our sample involves one or morerumor cascades. A rumor has more than one rumor cascade if it exhibits multiple independent ...
To identify potential relationships between the willingness to adopt a time-variant electricity tariff as well as the willingness to shift electricity consumption and the discussed independent variables, we employ a parametric analysis using a linear multiple regression model. The OLS estimation procedure ...