1. rejecting a null hypothesis which is true is know as
   1. false hypothesis
   2. type 1 error
   3. type 2 error
   4. specification error
2. In an estimated multiple regression equation, R2 indicates
   1. the square of the correlation of all variables
   2. the square of correlation between one independent variable and the dependent variable
   3. per cent of variation explained
   4. none of the above
3. Rejecting a null hypothesis , H0 when it is true is known as
   1. specification error
   2. sample error
   3. type 1 error
   4. type 2 error