Answer:
Because of absence of options, I have listed statements that are true; according to the model.
Step-by-step explanation:
To answer this, we find all possible explanations to the model. First, we know that:
X = time in office (in days)
Y = approval rating (in percentage)
The constant term in the model is 70
So the true statements that can be derived are:
(A) Y is inversely related to X. This is obvious because of the difference in sign of the coefficient of Y and that of X.
The coefficient of Y is +1
The coefficient of X is -0.01
Y has a positive coefficient while X has a negative coefficient.
The inverse relationship hence implies that the more days the politician spends in office, the less his percentage approval rating (and vice versa)!
Testing;
If X = 10 days, Y = 69.9%
If X = 20 days, Y = 69.8%
If X is 30 days, Y = 69.7%
(B) The rate at which approval rating drops is very slow; compared to the increase in number of days in office. A 10 day increase in number of days in office only results in a 0.1 or 10% decrease in percentage approval ratings.
(C) The longer a politician stays in office, the less his approval rating.
(D) The percentage approval rating is greatly influenced or increased by the constant term 70
