Research questions appropriately addressed with single-subject methods (a) examine causal, or functional, relations by examining the effects that introducing or manipulating an independent variable
This unexplained variance may be random fluctuations or it may be a variation that is explained by some other independent variable
Gay and Airasian (2000) explain how control is a primary characteristic of experimental studies: "Direct manipulation by the researcher of at least one independent variable
is the one single characteristic that differentiates experimental research from other types of research.
The OLS and logistic regression results are presented for the full model and each independent variable
Multicollinearity occurs when two or more independent variables
are highly correlated to each other, making a regression model statistically unreliable because each independent variable
is not really explaining anything different about the dependent variable.
The data set under study comprises of binary dependent variable (public versus private schools) and thirty-five (35) independent variables
that were assumed to discover the qualities of public and private schools teachers.
In case of direct causal effect of leadership styles on the dependent variable, job satisfaction, the significant path coefficients for H12, H13, H14, and H15 affirmed that all four independent variables
have direct effect on the level of job satisfaction.
The purpose of multiple regression (a term used by Pearson, 1908) is to highlight the relation between a dependent variable (explained, endogenous or resultant variables) and a lot of independent variables
(explanatory, factor, exogenous, predictor ones).
05level, the meaningful relationship exists between independent variable
(accuracy of profit forecast) and dependent variable (spent costs sticky of sold goods).
The responses were later tabulated and analyzed using regression analysis to understand the effect of the independent variables
on the dependent variables.
Probability value dealing with null hypothesis accounting for being no relationship between independent variable
of asset return ratio and dependent variable of stock price is lower than 0.
Model 4: To understand the impact of each independent variable
while raising short term debt for private sector companies