Please help me: There are 5 houses next to each other, each house is painted a different color. - The owners of each house are from 5 different countries.

- Each person only likes one drink, smokes only from one company, and has an animal. However, they do not all coincide, meaning that no one smokes, drinks water or has the same pets.
suggestions:
1. The British live in the red house.

2. Swedes keep dogs.

3. The Danes love to drink tea.

4. The green house is to the left of the white house.

5. Green host likes to drink coffee.

6. Pall Mall smokers keep birds.

7. Landlord smokes Dunhill.

8. The landlord in the middle of the street likes to drink milk.
9. The Norwegian lives in the first house.

10. Blends smoker lives next door to a cat owner.

11. Horseman lives next to smoker Dunhill.

12. Blue Master smoker loves to drink beer.

13. Germans smoke Prince.

14. The Norwegian lives next to the blue house.

15. The Blends smoker has a neighbor who only drinks plain water.
Threads: who keeps fish?

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?