The drinking age in New Jersey is 21. Suppose that New Jersey lowered its drinking age to 18. Use the results in column (4) to predict the change in the number of traffic fatalities in the next year. The predicted increase in the number of traffic fatalities in the next year is 19.32 (Round your response to two decimal places) Construct a 90% confidence interval for your answer. The 90% confidence interval for the predicted increase in the number of traffic fatalities in the next year is 1
The drinking age in New Jersey is 21. Suppose that New Jersey lowered its drinking age to 18. Use the results in column (4) to predict the change in the number of traffic fatalities in the next year. The predicted increase in the number of traffic fatalities in the next year is 19.32 (Round your response to two decimal places) Construct a 90% confidence interval for your answer. The 90% confidence interval for the predicted increase in the number of traffic fatalities in the next year is 1
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The drinking age in New Jersey is 21. Suppose that New Jersey lowered its drinking age to 18. Use the results in column (4) to predict the change in the number of traffic
fatalities in the next year.
The predicted increase in the number of traffic fatalities in the next year is 19.32
(Round your response to two decimal places)
Construct a 90% confidence interval for your answer.
The 90% confidence interval for the predicted increase in the number of traffic fatalities in the next year is
0.0
(Round your response to two decimal places)
Transcribed Image Text:8. This exercise refers to the drunk driving panel data regression summarized below.
Regression Analysis of the Effect of Drunk Driving Laws on Traffic Deaths
Dependent variable: traffic fatility rate (deaths per 10,000).
Regressor
Beer tax
Drinking age 18
Drinking age 19
Drinking age 20
Drinking age
Mandatory jail or
community service?
Average vehicle
miles per driver
Unemployment rate
Real income per capita
(logarithm)
Years
State Effects?
Time effects?
Time effects=0
(1)
0.34*
(0.042)
Drinking age coefficients = 0
Unemployment rate,
income per capita = 0
R²
1982-88
no
no
(2)
(3)
-0.62**
-0.76***
(0.22) (0.38)
1982-88 1982-88
yes
no
Clustered standard errors?
no
yes
F-Statistics and p-Values Testing Exclusion of Groups of Variables
4.43
(0.003)
yes
yes
yes
(4)
- 0.53
(0.39)
0.028
(0.077)
-0.021
(0.059)
0.037
(0.051) (0.058)
0.043
(0.115)
0.007
(0.005)
-0.063*
(0.014)
1.89*
(0.69)
1982-88
yes
yes
yes
10.51
(<0.001)
0.52
(0.767)
29.32
(<0.001)
0.979
(5)
- 0.64**
(0.31)
-0.013
(0.083)
-0.074
(0.068)
- 0.105***
0.078
(0.116)
0.018
(0.013)
1982-88
yes
yes
yes
(6)
-0.47
(0.37)
-0.003
(0.022)
0.094
0.037
(0.103) (0.164)
0.008
(0.005)
-0.065*
0.128
(0.047)
- 0.094*
(0.023)
1.01
(0.63)
1982 & 1988
only
yes
yes
yes
(0.013)
1.59*
(0.69)
1982-88
yes
yes
yes
3.23
10.44
(0.005) (<0.001)
1.56
(0.265)
(7)
-0.91*
(0.36)
0.033
(0.103)
-0.071
(0.103)
- 0.115
(0.127)
31.25
(<0.001)
0.926
37.12
(<0.001)
0.54
(0.749)
25.05
(<0.001)
0.097
0.857
0.831
0.877
0.866
These regressions were estimated using panel data for 48 U.S. states. Regressions (1) through (6) use data for all years
1982 to 1988, and regression (7) uses data from 1982 and 1988 only. Standard errors are given in parentheses under the
coefficients, and p-values are given in parentheses under the F-statistics. The individual coefficient is statistically significant
at the ***10%, **5%, or *1% significance level.
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Follow-up Questions
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Follow-up Question
please only answer the last part
"Suppose that real income per capita in New Jersey increases by 1% in the next year. Use the results in column (4) to predict the change in the number of traffic fatalities in the next year. "
![Construct a 95% confidence interval for your answer.
The 95% confidence interval for the number of lives that would be saved over the next year is [-161.74, 893.14]
(Round your response to two decimal places)
The drinking age in New Jersey is 21. Suppose that New Jersey lowered its drinking age to 18. Use the results in column (4) to predict the change in the number of traffic
fatalities in the next year.
The predicted increase in the number of traffic fatalities in the next year is 19.32
(Round your response to two decimal places)
Construct a 90% confidence interval for your answer.
The 90% confidence interval for the predicted increase in the number of traffic fatalities in the next year is
[-68.08, 106.72]
(Round your response to two decimal places)
Suppose that real income per capita in New Jersey increases by 1% in the next year. Use the results in column (4) to predict the change in the number of traffic fatalities in
the next year.
in the number of traffic fatalities in the next year is
(Round your response to two decimal places)
The predicted](https://content.bartleby.com/qna-images/question/ec7d60bf-a428-4edd-b5b3-7ceefcf490fe/c236a9c5-ecdf-442c-87e0-238965636af5/fcjg07_processed.png)
Transcribed Image Text:Construct a 95% confidence interval for your answer.
The 95% confidence interval for the number of lives that would be saved over the next year is [-161.74, 893.14]
(Round your response to two decimal places)
The drinking age in New Jersey is 21. Suppose that New Jersey lowered its drinking age to 18. Use the results in column (4) to predict the change in the number of traffic
fatalities in the next year.
The predicted increase in the number of traffic fatalities in the next year is 19.32
(Round your response to two decimal places)
Construct a 90% confidence interval for your answer.
The 90% confidence interval for the predicted increase in the number of traffic fatalities in the next year is
[-68.08, 106.72]
(Round your response to two decimal places)
Suppose that real income per capita in New Jersey increases by 1% in the next year. Use the results in column (4) to predict the change in the number of traffic fatalities in
the next year.
in the number of traffic fatalities in the next year is
(Round your response to two decimal places)
The predicted
Transcribed Image Text:8. This exercise refers to the drunk driving panel data regression summarized below.
Regression Analysis of the Effect of Drunk Driving Laws on Traffic Deaths
Dependent variable: traffic fatility rate (deaths per 10,000).
Regressor
Beer tax
Drinking age 18
Drinking age 19
Drinking age 20
Drinking age
Mandatory jail or
community service?
Average vehicle
miles per driver
Unemployment rate
Real income per capita
(logarithm)
Years
State Effects?
Time effects?
Time effects=0
(1)
0.34*
(0.042)
Drinking age coefficients = 0
Unemployment rate,
income per capita = 0
R²
1982-88
no
no
(2)
(3)
-0.62**
-0.76***
(0.22) (0.38)
1982-88 1982-88
yes
no
Clustered standard errors?
no
yes
F-Statistics and p-Values Testing Exclusion of Groups of Variables
4.43
(0.003)
yes
yes
yes
(4)
- 0.53
(0.39)
0.028
(0.077)
-0.021
(0.059)
0.037
(0.051) (0.058)
0.043
(0.115)
0.007
(0.005)
-0.063*
(0.014)
1.89*
(0.69)
1982-88
yes
yes
yes
10.51
(<0.001)
0.52
(0.767)
29.32
(<0.001)
0.979
(5)
- 0.64**
(0.31)
-0.013
(0.083)
-0.074
(0.068)
- 0.105***
0.078
(0.116)
0.018
(0.013)
1982-88
yes
yes
yes
(6)
-0.47
(0.37)
-0.003
(0.022)
0.094
0.037
(0.103) (0.164)
0.008
(0.005)
-0.065*
0.128
(0.047)
- 0.094*
(0.023)
1.01
(0.63)
1982 & 1988
only
yes
yes
yes
(0.013)
1.59*
(0.69)
1982-88
yes
yes
yes
3.23
10.44
(0.005) (<0.001)
1.56
(0.265)
(7)
-0.91*
(0.36)
0.033
(0.103)
-0.071
(0.103)
- 0.115
(0.127)
31.25
(<0.001)
0.926
37.12
(<0.001)
0.54
(0.749)
25.05
(<0.001)
0.097
0.857
0.831
0.877
0.866
These regressions were estimated using panel data for 48 U.S. states. Regressions (1) through (6) use data for all years
1982 to 1988, and regression (7) uses data from 1982 and 1988 only. Standard errors are given in parentheses under the
coefficients, and p-values are given in parentheses under the F-statistics. The individual coefficient is statistically significant
at the ***10%, **5%, or *1% significance level.
Solution
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