Answer:
d. can be equal to the value of the coefficient of determination (r2).
True on the special case when r =1 we have that 
Step-by-step explanation:
We need to remember that the correlation coefficient is a measure to analyze the goodness of fit for a model and is given by:
The determination coefficient is given by 
Let's analyze one by one the possible options:
a. can never be equal to the value of the coefficient of determination (r2).
False if r = 1 then 
b. is always larger than the value of the coefficient of determination (r2).
False not always if r= 1 we have that
and we don't satisfy the condition
c. is always smaller than the value of the coefficient of determination (r2).
False again if r =1 then we have
and we don't satisfy the condition
d. can be equal to the value of the coefficient of determination (r2).
True on the special case when r =1 we have that 
Answer:
The exponential function for the US population is:

Step-by-step explanation:
Let be supposed that US population can be modelled by means of the following exponential function:

Where:
- Time, measured in years. Where t = 0 for 1970.
- Initial population, in millions inhabitants.
- Exponential rate constant, in years.
- Population, in millions inhabitants.
Each constant is found hereafter:
A



B





The exponential function for the US population is:

Answer: The frog fell asleep for 4 nights.
Step-by-step explanation: First, he climbs up 3m every night. there are 16 nights before he gets to 29m. He has not climbed up for the 16th day so 15*3= 45. 45-29= 16. 16/4=4. The frog slept for 4 nights.
84 increased by 12% of 84 = (1)84 + (0.12)84, or (1.12)84 = $94.08
The value of k is 8 hope i was helpful