A firm is interested in forecasting the level of gas sales based on 16 periods of historical data. The data file for this problem is gassales. csv. (a.) Develop a predicted sales column using a 2-month moving average.
(b.)Develop a predicted sales column using a 3-month moving average.
(c.) Develop 4 predicted sales columns using exponential smoothing. (Use values of alpha of .2, .4, .6, and .8 for this exercise.)
(d.)For each of the predicted sales columns above, please produce forecasts for period 17 through period 20.
(e.) Using the Root MSE metric in assessing accuracy, which of the techniques produced the most accurate forecasts?
Time Perio Gasoline Sales
1 39
2 37
3 61
4 58
5 18
6 56
7 82
8 27
9 41
10 69
11 49
12 66
13 54
14 42
15 55
16 66

13

step-by-step explanation:

169-1=168

168-3=165

165-5=160

160-7=153

153-9=144

144-11=133

133-13=120

120-15=105

105-17=88

88-19=69

69-21=48

48-23=25

25-25=0

since it took 13times to completely subtract it hence its square root is 13

1. sometimes

2.   never

3   .08c = 7.50+.05c   250 pages

step-by-step explanation:

1.   sometimes

the theoretical probability of rolling a 1 is 1/6.   perhaps you got really lucky and never rolled a 1   in those 60 times.   your experimental probability is 0.   or perhaps you rolled a 1   20 times.   your experimental probability is 20/60 is 1/3.     it really just depends on how you rolled in that experiment.

2.   never

the probability of the event occurring is 1.   that is being 100 % sure it will happen.   that is the maximum amount of confidence we have.

3.   no customer card cost:   .08 times number of pages

customer card cost:   7.50 + .05 times number of pages

we want to find when it costs the same amount, so we will set these equal

let c = number of pages

.08c = 7.50+.05c

subtract .05c from each side

.08c-.05c = 7.5+.05c-.05c

.03c=7.5

divide each side by .03

.03c/.03 = 7.5/03

c =250  

the cost is the same at 250 pages