In: Statistics and Probability
A statistical program is recommended.
A certain company produces and sells frozen pizzas to public schools throughout the eastern United States. Using a very aggressive marketing strategy, they have been able to increase their annual revenue by approximately $10 million over the past 10 years. But increased competition has slowed their growth rate in the past few years. The annual revenue, in millions of dollars, for the previous 10 years is shown.
Year | Revenue |
---|---|
1 | 8.53 |
2 | 10.94 |
3 | 12.88 |
4 | 14.11 |
5 | 16.41 |
6 | 17.21 |
7 | 18.27 |
8 | 18.55 |
9 | 18.50 |
10 | 18.33 |
(b)
Using Minitab or Excel, develop a quadratic trend equation that can be used to forecast revenue (in millions of dollars). (Round your numerical values to three decimal places.)
Tt =
(c)
Using the trend equation developed in part (b), forecast revenue (in millions of dollars) in year 11. (Round your answer to two decimal places.)
$ million
Trend line using MINITAB:
(b) Regression Analysis: Revenue(Y) versus Years (X), X^2
The regression equation is
Revenue(Y) = 5.70 + 2.90 Years (X) - 0.163 X^2
Predictor Coef SE Coef T P
Constant 5.6972 0.3228 17.65 0.000
Years (X) 2.8997 0.1348 21.51 0.000
X^2 -0.16292 0.01195 -13.64 0.000
S = 0.274482 R-Sq = 99.5% R-Sq(adj) = 99.4%
Years
Obs (X) Revenue(Y) Fit SE Fit Residual St Resid
4 4.0 14.1100 14.6891 0.1213 -0.5791 -2.35R
R denotes an observation with a large standardized residual.
(c) FOR X=11
Y= 5.70+2.90 *11-0.163* 11^2
Y= 17.877
Revenue for 11 years = 17.88
STEPS OF MINITAB FOR QUADRATIC LINE:
Input Type | Label | Value |
---|---|---|
Store result in variable: | 'x^2' | |
Expression: | 'x'**2 |
Input Type | Label | Value |
---|---|---|
Response: | y | |
Predictors: | x 'x^2' |