Reference no: EM131087283

1) In linear multiple regression analysis a common rule of thumb is that the number of cases in the training data should be __________

a) as many as you can get

b) twice the number of predictors

c) larger than the number of predictors plus 2 multiplied by 5

d) ten times the number of predictors.

2) Suppose a dataset has one dependent variable and five predictors ,three numeric and two categorical having 3 and 5 categories respectively. Given this how many independent variables will be needed to run a linear multiple regression analysis on the dataset?

a) 5

b) 9

c) 11

d) 12

3)Since the range of values of independent variables can vary widely ,it is advisable to_______ before applying the linear multiple regression method.

a) randomly sample the dataset

b) normalize the independent variables

c) minimize over fitting

d) apply data smoothing techniques to the data.