1.      Which of the following is not correct about the r-square
         Ans.  It is the correlation coefficient

2.      Which of the following measures the strength or degree of linear  association
         between two variables
         Ans.  Correlation analysis

3.    ........is an idea that as the sample becomes infinitely large
        Ans.  Consitency

4.     Regression is useful in that it can
        Ans.  All of the options

5.    Which of the following is not a basic assumption of the classical linear regre.....
       Ans.  Non -linearity

6.   The disturbance or error term is included in a model to capture the following except
       Ans.  None of the options

7.    The smaller the differences or errors generated  using the ordinary least squares
        Ans. The better the model fits the data

8.     .......estimates or predict the average value of one variable on the basis
        Ans.   Regression analysis

9.      A regression model consist of which of the following....
         Ans. All of the options

10.    ........assumption requires that all disturbance terms are independently distributed
         Ans.  Serial independence.