<span>The <u>correct answer</u> is:
This is the average number of days the house stayed on the market before being sold for $150,000.
Explanation<span>:
f(p) is defined as the average number of days a house stays on the market before being sold for price p (given in $1000).
We want f(150); this means p=150. Since p is in thousands of dollars, this means the price of the house was $150,000.
This means f(150) is the average number of days the house stayed on the market before being sold for $150,000.</span></span>
We have that
using a graph tool--------------> graph the <span> cosecant function
</span>see the attached figure
the answer is the option B
Answer: find the answers in the explanation.
Step-by-step explanation:
Given that the predicted Number of Text Messages Sent = 60 – 0.8 • Age
Where the slope = - 0.8
The intercept = 60
1) the slope of the least regression line is -0.8
2.) The unit of the slope of the line is text per year
3.) Therefore, the slope of the line tells you that for every year older the smart phone user is, you can expect a typical average in text messages sent of - 0.8
4.) The y - intercept of the least square regression line is 60
5.) The unit of the y - intercept of the line are text sent
6.) The y - intercept of the line tells you the starting point. The first number of text messages sent.
