In: Operations Management
CHAPTER 4, QUESTION 14
Café Michigan's? manager, Gary? Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical? observations, Gary has gathered the following? data, which show the numbers of these coffees sold over six different price? values:
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Price |
Number Sold |
?$2.70 |
770 |
?$3.50 |
510 |
?$2.00 |
990 |
?$4.20 |
250 |
?$3.00 |
315 |
?$4.00 |
480 |
Using simple linear regression and given that the price per cup is ?$1.80?,
the forecasted demand for mocha latte coffees will be ____ cups ?(enter your response rounded to one decimal? place).
A simple linear regression is of the form
Y = b0 + b1 X
where b0 is the intercept and b1 is the slope
The regression equation is Y = 1450.87 - 277.85 X
when the price per cup is $ 1.80, the forecasted demand is
Y = 1450.87 - 277.85 * $ 1.80
Forecasted demand = 950.7 units
Output of regression analysis
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.822905 | |||||||
R Square | 0.677173 | |||||||
Adjusted R Square | 0.596467 | |||||||
Standard Error | 178.2504 | |||||||
Observations | 6 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 266594.7 | 266594.7 | 8.390549 | 0.044267 | |||
Residual | 4 | 127092.8 | 31773.21 | |||||
Total | 5 | 393687.5 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 1450.874 | 318.5657 | 4.554393 | 0.010383 | 566.3933 | 2335.354 | 566.3933 | 2335.354 |
X Variable 1 | -277.847 | 95.92047 | -2.89664 | 0.044267 | -544.165 | -11.5296 | -544.165 | -11.5296 |