Using the regression results in column (1): The t-statistic for the college-high school earnings difference estimated from this regression is (Round your response to two decimal places) IS Is the college-high school earnings difference estimated from this regression statistically significant at the 1% level? Since the absolute value of the t-statistic is V than the critical value for 99% confidence, the college-high school earnings difference estimated from this regression V statistically significant at the 1% level. Construct a confidence interval of 99% for the college-high school earnings difference. The 99% confidence interval for the college-high school earnings difference is ( ). (Round your responses to two decimal places.) The t-statistic for the male-female earnings difference estimated from this regression is (Round your response to two decimal places.) Is the male-female earnings difference estimated from this regression statistically significant at the 1% level? Since the t-statistic is V than the critical value for 99% confidence, the male-female earnings difference estimated from this regression statistically significant at the 1% level. Construct a confidence interval of 99% for the male-female earnings difference.
Using the regression results in column (1): The t-statistic for the college-high school earnings difference estimated from this regression is (Round your response to two decimal places) IS Is the college-high school earnings difference estimated from this regression statistically significant at the 1% level? Since the absolute value of the t-statistic is V than the critical value for 99% confidence, the college-high school earnings difference estimated from this regression V statistically significant at the 1% level. Construct a confidence interval of 99% for the college-high school earnings difference. The 99% confidence interval for the college-high school earnings difference is ( ). (Round your responses to two decimal places.) The t-statistic for the male-female earnings difference estimated from this regression is (Round your response to two decimal places.) Is the male-female earnings difference estimated from this regression statistically significant at the 1% level? Since the t-statistic is V than the critical value for 99% confidence, the male-female earnings difference estimated from this regression statistically significant at the 1% level. Construct a confidence interval of 99% for the male-female earnings difference.
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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Concept explainers
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Question
Transcribed Image Text:Regressor
(2)
(3)
College (X1)
5.08
5.10
5.06
(0.20)
- 2.46
(0.19)
(0.20)
- 2.44
(0.19)
(0.20)
- 2.44
(0.19)
Female (X2)
Age (X3)
0.27
(0.04)
0.27
(0.04)
Northeast (X4)
0.64
(0.28)
Midwest (X5)
0.56
(0.26)
South (X6)
-0.25
(0.24)
11.80
(0.13)
4.09
(0.98)
Intercept
3.49
(0.99)
Summary Statistics
5.79
F-statistic for regional effects = 0
5.83
5.78
5.78
SER
0.164
0.177
0.180
R?
4300
4300
4300
(1)
Transcribed Image Text:eip
Using the regression results in column (1):
The t-statistic for the college-high school earnings difference estimated from this regression is
(Round your response to two decimal places.)
Is the college-high school earnings difference estimated from this regression statistically significant at the 1% level?
Since the absolute value of the t-statistic is
than the critical value for 99% confidence, the college-high school earnings difference estimated from this
regression
statistically significant at the 1% level.
Construct a confidence interval of 99% for the college-high school earnings difference.
The 99% confidence interval for the college-high school earnings difference is
(Round your responses to two decimal places.)
The t-statistic for the male-female earnings difference estimated from this regression is
(Round
your response to two decimal places.)
Is the male-female earnings difference estimated from this regression statistically significant at the 1% level?
Since the t-statistic is
than the critical value for 99% confidence, the male-female earnings difference estimated from this regression
statistically
significant at the 1% level.
Construct a confidence interval of 99% for the male female earnings difference
The 99% confidence interval for the male-female earnings difference is (
(Round your responses to two decimal places.)
Enter your answer in each of the answer boxes.
(DELL
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