Linear multiple regression analysis

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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.

Reference no: EM131087283

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