Question
In: Statistics and Probability
Consider the following daily time series representing the number of clients visiting the Small Business Development...
Consider the following daily time series representing the number
of clients visiting the Small Business Development Center over the
previous 10 days.
| Day | Clients |
|---|---|
| 1 | 1 |
| 2 | 2 |
| 3 | 1 |
| 4 | 3 |
| 5 | 0 |
| 6 | 2 |
| 7 | 1 |
| 8 | 1 |
| 9 | 2 |
| 10 | 3 |
Step 1 of 2: What is the Simple Exponential Smoothing Forecast
for day 11 (t = 11) assuming that the smoothing constant, alpha =
0.2?
Round to 2 decimal places.
Step 2 of 2: What is the Simple Exponential Smoothing Forecast
for day 11 (t = 11) assuming that the smoothing constant, alpha =
0.75?
Round to 2 decimal places.
Solutions
orchestra answered 2 years agoRelated Solutions
Consider the following daily time series representing the number of clients visiting the Small Business Development...
Consider the following daily time series representing the number
of clients visiting the Small Business Development Center over the
previous 10 days.
Day
Clients
1
1
2
2
3
1
4
3
5
0
6
2
7
1
8
1
9
2
10
3
Step 1 of 2:
What is the Simple Exponential Smoothing Forecast for day 11 (t
= 11) assuming that the smoothing constant, alpha = 0.35?
Round to 2 decimal places.
Consider the following daily time series...
Consider the following time series.
Consider the following time series.
t
1
2
3
4
5
yt
5
10
10
15
14
(a)
Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item
1
What type of pattern exists in the data?
- Select your answer -Positive trend patternHorizontal
stationary patternVertical stationary patternNegative trend
patternItem 2
(b)
Use simple linear regression analysis to find the parameters
for the line that minimizes MSE for this time series....
Consider the following daily time series for days 1-14. Use this information to answer the questions...
Consider the following daily time series for days 1-14. Use this
information to answer the questions below.
Day
Daily Steps
1
2270
2
3869
3
3285
4
4598
5
3539
6
2474
7
2246
8
4800
9
3696
10
4817
11
3261
12
1839
13
5121
14
2800
Step 1 of 7: What is the 3-day Moving Average forecast for time
period 4?
Round to the nearest whole number.
Step 2 of 7: What is the 3-day Moving Average forecast...
Consider the following time series data.
Consider the following time series data. Week123456Value181516131716a. Choose the correct time series plot.What type of pattern exists in the data? b. Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places. WeekTime Series ValueForecast118215316413517616 MSE: The forecast for week 7: c. Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places. WeekTime Series ValueForecast118215316413517616MSE: The...
Consider the following time series data.
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
5
8
10
2
2
4
8
3
1
4
6
4
3
6
8
(b)
Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise.
If required,...
Consider the following time series. (a) Choose the correct time series plot. (i)...
Consider the following time series.
(a)
Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item 1
What type of pattern exists in the data?
- Select your answer - Horizontal PatternDownward Trend PatternUpward Trend PatternItem 2
(b)
Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series.
Do...
Consider the following data representing the daily calorie intake for dieters. 13801380, 10321032, 13181318, 10251025, 10211021,...
Consider the following data representing the daily calorie
intake for dieters.
13801380, 10321032, 13181318, 10251025, 10211021, 12541254,
14181418, 14251425, 11911191, 10601060, 11701170, 14171417,
11901190, 12601260, 10541054, 13931393, 10651065, 13851385,
10671067, 12671267, 13461346
Copy Data
Daily Calorie Intake for Dieters
Class
Frequency
Class Boundaries
Midpoint
Relative Frequency
Cumulative Frequency
1002–10811002–1081
1082–11611082–1161
1162–12411162–1241
1242–13211242–1321
1322–14011322–1401
1402–14811402–1481
Step 1 of 7: Determine the class width of the classes listed in
the frequency table.
Step 2 of 7: Determine the frequency of the second...
Subject: Training and Development SCENERIO: . Training and Development in Small Businesses Select a small business...
Subject: Training and Development
SCENERIO:
.
Training and Development in Small Businesses
Select a small business with which you are familiar. Imagine that
you have been called into that business to provide a consultation
on training. Create a comprehensive training proposal for the
business. Also discuss Kirkpatrick’s framework to assess training
program effectiveness.
.
Tasks and Requirements
1. Training and Development proposal for the Small
business [4-5 Pages]
2. Kirkpatrick’s framework to assess training program
effectiveness. [6-10 pages]
3. Reference
Consider the following table for the total annual returns for a given period of time. Series...
Consider the following table for the total annual returns for a
given period of time. Series Average return Standard Deviation
Large-company stocks 11.7 % 20.6 % Small-company stocks 16.4 33.0
Long-term corporate bonds 5.6 9.1 Long-term government bonds 6.1
9.4 Intermediate-term government bonds 5.6 5.7 U.S. Treasury bills
3.8 3.1 Inflation 3.1 4.2 What range of returns would you expect to
see 68 percent of the time for long-term corporate bonds? (A
negative answer should be indicated by a minus...
Consider the following regression results of B for time series data. The dependent variable is the...
Consider the following regression results of B for time series
data. The dependent variable is the log of real consumption and the
regressors are all lagged by one period. The coefficients are
estimated by OLS method. *, **, and *** indicate that the
coefficients are significant at the 10%, 5%, and 1% level,
respectively. The F- test in the last row tests the joint
hypothesis that all the coefficients except the constant are zero
and their p-values are provided in...
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