Question
Consider the following table containing unemployment rates for a 10-year period. Unemployment Rates Year Unemployment Rate...
Consider the following table containing unemployment rates for a
10-year period.
| Year | Unemployment Rate (%) |
|---|---|
| 1 | 3.5 |
| 2 | 4.7 |
| 3 | 5.5 |
| 4 | 8.3 |
| 5 | 11.1 |
| 6 | 7.6 |
| 7 | 6.1 |
| 8 | 4.2 |
| 9 | 11.2 |
| 10 | 8.9 |
Step 1 of 2 :
Given the model
Estimated Unemployment Rate=β0+β1(Year)+εi
write the estimated regression equation using the least squares
estimates for β0β0 and β1β1. Round your answers to two decimal
places.
Step 2 of 2 : What is the coefficient of determination for the regression model? Round your answers to two decimal places.
Homework Answers
Answer #1
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I have performed the linear regression and answered the 2 questions in the image below:
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Similar Questions
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Step 1 of 2 :
Given the model
Estimated Unemployment Rate=β0+β1(Year)+εi,Estimated
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write the estimated regression equation using the least squares
estimates for β0β0 and β1β1. Round your answers to two decimal
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Consider the following table containing unemployment rates for a 10-year period. Unemployment Rates Year Unemployment Rate...
Consider the following table containing unemployment rates for a
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7.7
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7.1
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9.1
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Step 1 of 2 :
Given the model
Estimated Unemployment Rate=β0+β1(Year)+εi
write the estimated regression equation using the least squares
estimates for β0β0 and β1β1. Round your answers to two decimal
places.
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Step 1 of 2 :
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2 of 2 : What is the coefficient of determination for the
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A
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B
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C
14.9
8,370
D
15.9
6,200
E
17.2
4,000
F
13.1
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G
16.2
6,000
H
17.1
2,680
I
17.6
3,500
J
14.1
8,000
These data provided the estimated regression
equation ŷ = 28,175 − 1,413x.
For these data, SSE = 7,270,445.08 and SST = 50,662,800. Use the
F test to determine whether...
Year Unemployment rate gdp growth cpi inflation rate 1980 7.2 -0.2 87 1981 7.6 2.6 94...
Year
Unemployment rate
gdp growth
cpi
inflation rate
1980
7.2
-0.2
87
1981
7.6
2.6
94
8.05
1982
9.7
-1.9
97.6
3.83
1983
9.6
4.6
101.3
3.79
1984
7.5
7.3
105.3
3.95
1985
7.2
4.2
109.3
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1986
7.0
3.5
110.5
1.10
1987
6.2
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115.4
4.43
1988
5.5
4.2
120.5
4.42
1989
5.3
3.7
126.1
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1990
5.6
1.9
133.8
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1991
6.9
-0.1
137.9
3.06
1992
7.5
3.6
141.9
2.90
1993
6.9
2.7
145.8
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1994
6.1
4.0...
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Step 2 of 4: Compute the standard error (se) of the model. Round
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