Refer to the following regression results. The dependent variable is Abort (the number of abortions per 1000 women of childbearing age). The regression was estimated using data for the 50 U.S. states with these predictors: EdSpend = public K-12 school expenditure per capita, Age = median age of population, Unmar = percent of total births by unmarried women, Infmor = %3D %3D %3D infant mortality rate in deaths per 1000 live births. Coefficients Standard Error -19.244 Variable t-Stat 25.387 -0.758 Intercept EdSpend Age Unmar 0.0080040 0.0054472 1.469 0.76012 0.66914 1.136 0.98629 0.22132 4.456 InfMor -3.7848 1.0173 -3.720 19. In a two-tailed test for significance, at a level of significance of .01, the critical value to test Unmar is plus/minus Select one: O 2.690 O 2.412 O 2.692 O 2.414
Refer to the following regression results. The dependent variable is Abort (the number of abortions per 1000 women of childbearing age). The regression was estimated using data for the 50 U.S. states with these predictors: EdSpend = public K-12 school expenditure per capita, Age = median age of population, Unmar = percent of total births by unmarried women, Infmor = %3D %3D %3D infant mortality rate in deaths per 1000 live births. Coefficients Standard Error -19.244 Variable t-Stat 25.387 -0.758 Intercept EdSpend Age Unmar 0.0080040 0.0054472 1.469 0.76012 0.66914 1.136 0.98629 0.22132 4.456 InfMor -3.7848 1.0173 -3.720 19. In a two-tailed test for significance, at a level of significance of .01, the critical value to test Unmar is plus/minus Select one: O 2.690 O 2.412 O 2.692 O 2.414
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
7
![Refer to the following regression results. The dependent variable is Abort (the
number of abortions per 1000 women of childbearing age). The regression
was estimated using data for the 50 U.S. states with these predictors:
EdSpend = public K-12 school expenditure per capita, Age = median age of
population, Unmar = percent of total births by unmarried women, Infmor =
%3D
%3D
infant mortality rate in deaths per 1000 live births.
Coefficients Standard Error
-19.244
Variable
t-Stat
25.387
-0.758
Intercept
EdSpend
Age
Unmar
0.0080040
0.0054472
1.469
0.76012
0.66914
1.136
0.98629
0.22132
4.456
InfMor
-3.7848
1.0173
-3.720
19. In a two-tailed test for significance, at a level of significance of .01, the
critical value to test Unmar is plus/minus
Select one:
O 2.690
O 2.412
O 2.692
O 2.414](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8664a586-1228-418f-9b40-2c60c772cd51%2F19bb55bc-ea73-4279-ae78-f91aedeb3b70%2Fas4nm1_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Refer to the following regression results. The dependent variable is Abort (the
number of abortions per 1000 women of childbearing age). The regression
was estimated using data for the 50 U.S. states with these predictors:
EdSpend = public K-12 school expenditure per capita, Age = median age of
population, Unmar = percent of total births by unmarried women, Infmor =
%3D
%3D
infant mortality rate in deaths per 1000 live births.
Coefficients Standard Error
-19.244
Variable
t-Stat
25.387
-0.758
Intercept
EdSpend
Age
Unmar
0.0080040
0.0054472
1.469
0.76012
0.66914
1.136
0.98629
0.22132
4.456
InfMor
-3.7848
1.0173
-3.720
19. In a two-tailed test for significance, at a level of significance of .01, the
critical value to test Unmar is plus/minus
Select one:
O 2.690
O 2.412
O 2.692
O 2.414
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