Answer:
The linear regression equation that represents the set of data is:
The predicted number of new cases for 2013 is 1368.
Step-by-step explanation:
The general form of a linear regression is:
Here,
<em>y</em> = dependent variable
<em>x</em> = independent variable
<em>a</em> = intercept
<em>b</em> = slope
Compute the values of <em>a</em> and <em>b</em> as follows:
The linear regression equation that represents the set of data is:
Compute the predicted value of the number of new cases for 2013 (i.e. <em>x</em> = 12) as follows:
Thus, the predicted number of new cases for 2013 is 1368.
Answer
i belive that the answer is 0.2 because 0.2 is 1/5 of a whole
To answer this question, we have the start-up costs of $ 52,000
A monthly inflation of $ 0 is assumed
Operating costs are $680
The daily gain is $960
For the Part A.
The inequality that this situation represents
So:
Where d represents the number of days.
For the Part B.
To start earning, you must replace all the initial investment and cover the expenses per day. The time that must pass for this to happen is obtained by clearing "d" from the inequality.
d> 185.71 days
Then, the sum of the net profits will be greater than the initial investment after 186 days of starting the business.
Desmos helps me with graphing equations I reccomend using them.
Answer:
x = 10
Step-by-step explanation:
Since both equations give y in terms of x, equate the right sides
3x - 28 = - 2x + 22 ( add 2x to both sides )
5x - 28 = 22 ( add 28 to both sides )
5x = 50 ( divide both sides by 5 )
x = 10
