A researcher is studying the effect of ten different variables on a critical measure of business performance. In selecting the b
est set of independent variables to predict the dependent variable, a forward selection method is used. How are variables selected for inclusion in the model? A. Smallest p-value
Forward selection is a type of stepwise regression which begins with an empty model and adds in variables one by one. In each forward step, you add the one variable that gives the single best improvement to your model.
We know that when more variables are added, r-squared values typically increase with probability 1. Based on this and the above definition, we select the candidate variable that increases r-Squared the most and stop adding variables when none of the remaining variables are significant.
Ms. Handler drove at a rate of 75 km per hour. you do this by dividing the distance (225 km) by the time (3 hours) to get the average km traveled per hour
