please please just answer from question 7 to 13 questions only. I will rate your work.

True/false (13Questions, answer 10, declare whether the statement is true/false or uncertain (1 point) and explain your answer in no more than 2 lines (2 points). Type your answers with font size 12. 1. Time series data are independent across time. 2. If the residual sum of squares (SSR) in a regression analysis is 66 and the total sum of squares (SST) is equal to 90, the value of the goodness of fit (R-squared) is 0.67 (rounded up to two decimal places). 3. The variance of the slope estimator increases as the error variance decreases. 4. In a simple linear regression, there are n-1 degrees of freedom to estimate the standard error of the regression. 5. R-squared, measure of goodness of lit, usually decreases with dii increase in the number of independent variables in a regression. 6. Suppose we omit variable x2 from the equation y= Bo +31x1 +32 x2 + u. , is the estimated effect of X1 on y when x2 is omitted from the equation. The bias in B, is positive if B2