Use the software (SPSS or R) to develop a model using best subset technique. Notice that regression simply states which model to use, while best subsets provides much information and requires the user to choose how many variables to include in the model. In general, statisticians select models that have a large R square, and a relatively small number of explanatory variables. Based on the output from best subset, which explanatory variables should be included in regression model?

Can you help me how to use SPSS or R software to answer this question?

There is 7 dependent x variables and one y variable.