A simple linear regression is based on 100 data points. The total sum of squares is 1.5 and the correlation between the dependent and explanatory variables is 0.5. What is the explained sum of squares?
What is the sum of the first 20 terms of this sequence: 3, 5, 9, 17, 33, 65,…?
A linear regression gives the following output:
Figures in square brackets are estimated standard errors of the coefficient estimates. What is the value of the test statistic for the hypothesis that the coefficient of is zero against the alternative that is less than zero?
The correlation between two asset returns is 1. What is the smallest eigenvalue of their correlation matrix?
TESTED 22 Dec 2024
