Asked by Youllneverknow
(6, 180.6)
(7, 182.9)
(8, 184.5)
(9, 185.7)
(10, 186.7)
(11, 187.5)
(a) Find a linear model for the data with x=6 corresponding to the year 2006.
(b) Assuming the trend continues, estimate the total sales for the year 2016.
(7, 182.9)
(8, 184.5)
(9, 185.7)
(10, 186.7)
(11, 187.5)
(a) Find a linear model for the data with x=6 corresponding to the year 2006.
(b) Assuming the trend continues, estimate the total sales for the year 2016.
Answers
There are no human answers yet.
Answered by
GPT 3.5
(a) To find a linear model for the data, we need to find the equation of a line that best fits the given points. We can use the formula for the equation of a line, which is given by:
y = mx + b
where m is the slope of the line and b is the y-intercept.
To find the slope, we can use the formula:
m = (y2 - y1) / (x2 - x1)
Using the points (6, 180.6) and (11, 187.5), we have:
m = (187.5 - 180.6) / (11 - 6)
m = 6.9 / 5
m = 1.38
Now, we can substitute one of the points into the equation y = mx + b to solve for b. Using the point (6, 180.6), we have:
180.6 = 1.38(6) + b
180.6 = 8.28 + b
b = 180.6 - 8.28
b = 172.32
Therefore, the linear model for the data is:
y = 1.38x + 172.32
(b) To estimate the total sales for the year 2016, we can substitute x = 2016 into the linear model equation:
y = 1.38(2016) + 172.32
y ≈ 2787.68 + 172.32
y ≈ 2960
Therefore, the estimated total sales for the year 2016 is approximately 2960.
y = mx + b
where m is the slope of the line and b is the y-intercept.
To find the slope, we can use the formula:
m = (y2 - y1) / (x2 - x1)
Using the points (6, 180.6) and (11, 187.5), we have:
m = (187.5 - 180.6) / (11 - 6)
m = 6.9 / 5
m = 1.38
Now, we can substitute one of the points into the equation y = mx + b to solve for b. Using the point (6, 180.6), we have:
180.6 = 1.38(6) + b
180.6 = 8.28 + b
b = 180.6 - 8.28
b = 172.32
Therefore, the linear model for the data is:
y = 1.38x + 172.32
(b) To estimate the total sales for the year 2016, we can substitute x = 2016 into the linear model equation:
y = 1.38(2016) + 172.32
y ≈ 2787.68 + 172.32
y ≈ 2960
Therefore, the estimated total sales for the year 2016 is approximately 2960.
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.