In: Statistics and Probability
The following partial MINITAB regression output for the Fresh detergent data relates to predicting demand for future sales periods in which the price difference will be .10
Predicted Values for New Observations | |||||
New | Obs | Fit | SE Fit | 95% CI | 95% PI |
1 | 8.3323 | .1570 | (8.0107, 8.6539) | (6.7456, 9.9189) | |
2 | 8.3601 | .142 | (8.0689, 8.6512) | (6.7793, 9.9408) | |
(a) Report a point estimate of and a 95 percent
confidence interval for the mean demand for Fresh in all sales
periods when the price difference is .10. (Round your
answers to 3 decimal places.)
Point estimate = |
Confidence interval = [, ] |
(b) Report a point prediction of and a 95 percent prediction interval for the actual demand for Fresh in an individual sales period when the price difference is .10. (Round your answers to 3 decimal places.)
Point estimate = |
Confidence interval = [, ] |
(c) Remembering that s = .758487 and that
the distance value equals (syˆ/s)2(sy^/s)2, use
syˆsy^· from the computer output to hand
calculate the distance value when x = .10. (Round
your answer to 4 decimal places.)
dv =
(d) For this case: n = 30,
b0 = 8.313738, b1 =
.185319, and s = .758487. Using this information, and your
result from part (c), find 99 percent confidence and prediction
intervals for mean and individual demands when x = .10.
(Round your answers to 4 decimal places.)
99% C.I.:[, ] |
99% P.I.:[, ] |
a)
Point estimate =8.3323
Confidence interval =(8.0107 , 8.6539)
b)
Point estimate =8.3323
Confidence interval =(6.7456 , 9.9189)
c)
distance value(leverage) =(sy/s)^2 = | 0.0428 |
d)
std error confidence interval= | s*√(leveage) | = | 0.1570 | ||
for 99 % CI value of t= | 2.7633 | ||||
margin of error E=t*std error = | 0.43 | ||||
lower confidence bound=sample mean-margin of error = | 7.8984 | ||||
Upper confidence bound=sample mean+margin of error= | 8.7661 |
99% CI =7.8984 , 8.7661
std error prediction interval= | s*√(1+leverage) | = | 0.7746 | ||
for 99 % CI value of t= | 2.7633 | ||||
margin of error E=t*std error = | 2.14 | ||||
lower prediction bound=sample mean-margin of error = | 6.1919 | ||||
Upper prediction bound=sample mean+margin of error= | 10.4726 |
99% PI =6.1919 , 10.4726