In a fuzzy regression discontinuity (RD) design, the probability of treatment jumps when a running variable (R) passes a threshold (R0). Fuzzy RD estimates are obtained via a procedure analogous to ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Linear regression equation. Linear regression graph and the line of best fit. Types of linear regression analysis. Simple linear regression ... Linear regression takes the logic of the correlation ...

A third multiple regression analysis was carried out for the prediction of the DRI based on the BTS and UCS values, and the results of the regression are given in Table IV. According to our multiple ...

In the past, it was necessary to create an equation to make forecasts from regression analysis. Seldom were these equations easy to calculate or as simple as x=y2.

This involves employing a regression formula that uses the correlation coefficient to find the best line of regression. ... you will be happy to hear that you can perform regression analysis in Excel.

However, correlation analysis can only study the direction and degree of correlation between variables, but it cannot obtain the specific form of the relationship between variables, nor can it infer ...

Logistic regression analysis. Logistic regression analysis was performed to correlate the progression of DKD with serum IL-6, serum IGF-1, TG, TC, FPG and HbA1c levels. The results showed that the ...

While literature shows that the study of attention mechanisms is mature in long-distance property correlation, there remains a gap in the correlation analysis between literature and psychology. This ...