With respect to the 7 statements below, say whether the statement is True (T) or False (F). No explanation is required.

1. In a multiple linear regression with intercept, the multiple coefficient of determination can take on value between 0 and 1
2. A forecast for time period 10 for the trend projectionTt=5+6tis equal to 65.
3. A chi-square distribution with 1 degree of freedom is equal to the square of a standard
4. normal distribution
5. The Spearman rank correlation can be calculated for nominal scale data
6. Convenience sampling is always a form of probabilistic sampling
7. Heteroscedasticity may lead to an increases risk of committing a type I error
8. To test the overall significance of a multiple linear regression model we use the t-test