multiple regression

"I did multiple regression analysis on a calculator," she says.

For example, in a multiple regression analysis we may include several covariates of potential interest.

But the school may have no money to gather data and conduct a standard multiple regression analysis.

Stepwise multiple regression models were used to address research questions two and three.

Using a multiple regression or some form of Bayesian decision rule would be better and cheaper.

We can use multiple regression analysis to discover the relative influence of these factors on perceptions.

Multiple Regression allows us to understand the influence of one variable when the other variables are held fixed.

In the more general multiple regression model, there are p independent variables:

The relationships between variables were evaluated by the simple correlation coefficient and a multiple regression analysis.

At a conceptual level, the example of weight loss can illustrate the idea of multiple regression.

Before solving a multiple regression problem, all variables (independent and dependent) can be standardized.

The effect size measure for hierarchical multiple regression is defined as:

Standard multiple regression has a major assumption: it assumes that all the important predictors are in the equation.

Perhaps the first application of multiple regression techniques for ratemaking.

Problems with detecting moderators in leadership research using moderated multiple regression.

Another approach has been to include gestational age in a multiple regression equation along with other potential predictors of birth weight.

Therefore, multiple regression is a proper linear model.

If one or more of the variables is continuous in nature, however, it would typically be tested using moderated multiple regression.

To determine whether two weather variables could explain more than a single variable, we applied stepwise multiple regression analysis.

Bjornsson decided not to use a formula derived from multiple regression analysis.

The course also covers classic statistics through multiple regression analysis to support subsequent courses in finance and marketing.

Using multiple regression techniques, he isolated the effect of pitching under Mazzone and not.

Before multiple regression analysis, univariate tests were used to assess the independent effect of each factor on height velocity.

In the standard form of multiple regression, each predictor is multiplied by a number that is called the beta weight.

Lavoisier noted in 1780 that heat production can be predicted from oxygen consumption this way, using multiple regression.