STATISTICAL TECHNIQUES AND TOOLS
MULTIPLE REGRESSION
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
slope
|
|
intercept
|
|
standardized beta
|
|
interaction term
|
Detailed explanation-1: -Parameter estimates (also called coefficients) are the change in the response associated with a one-unit change of the predictor, all other predictors being held constant. The unknown model parameters are estimated using least-squares estimation.
Detailed explanation-2: -The intercept (sometimes called the “constant”) in a regression model represents the mean value of the response variable when all of the predictor variables in the model are equal to zero.
Detailed explanation-3: -A Closed Form Expression and Its Enhanced Version. Comparing Observed and Expected Frequencies Using the 2 Statistic. Comparing Observed and Expected Cumulative Distribution Functions of the Response Times Using the Kolmogorov-Smirnov Statistic. Maximum Likelihood Estimation. More items •19-Aug-2020