Consider the following time series data: Quarter Year 1 Year 2 Year 3 1 4 6 7 2 2 3 6 3 3 5 6 4 5 7 8 A. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Q1 if quarter 1, 0 otherwise; Q2 if quarter 2, 0 otherwise; Q3 if quarter 3, 0 otherwise. B. Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (A) to capture seasonal effects and create a variable "Trend" such that T=1 for quarter 1 in year 1, T=2 for quarter 2 in year1,.... T=12 for quarter 4 in year 3.
Consider the following time series data: Quarter Year 1 Year 2 Year 3 1 4 6 7 2 2 3 6 3 3 5 6 4 5 7 8 A. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Q1 if quarter 1, 0 otherwise; Q2 if quarter 2, 0 otherwise; Q3 if quarter 3, 0 otherwise. B. Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (A) to capture seasonal effects and create a variable "Trend" such that T=1 for quarter 1 in year 1, T=2 for quarter 2 in year1,.... T=12 for quarter 4 in year 3.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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Consider the following time series data:
Quarter
|
Year 1
|
Year 2
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Year 3
|
1
|
4
|
6
|
7
|
2
|
2
|
3
|
6
|
3
|
3
|
5
|
6
|
4
|
5
|
7
|
8
|
A. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Q1 if quarter 1, 0 otherwise; Q2 if quarter 2, 0 otherwise; Q3 if quarter 3, 0 otherwise.
B. Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data.
Use the dummy variables you developed in part (A) to capture seasonal effects and create a variable "Trend" such that T=1 for quarter 1 in year 1, T=2 for quarter 2 in year1,.... T=12 for quarter 4 in year 3.
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