A researcher's results are shown below using Femlab (labor force participation rate among females) to try to predict Cancer (death rate per 100,000 population due to cancer) in the 50 U.S. states. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Variable Intercept Femlab Coefficients 343.619889 -2.2833659 Multiple Choice 0.313422848 0.098233882 0.079447088 32.07003698 50 Standard Error 61.0823514 0.99855319 t Stat 5.62552 -2.28667 Which statement is valid regarding the relationship between Femlab and Cancer? A rise female labor participation rate will cause the cancer rate to decrease within a state This model explains about 10 percent of the variation in state cancer rates. At the 05 level of significance, there isn't enough evidence to say the two variables are related. If your sister starts working, the cancer rate in your state will decline.
A researcher's results are shown below using Femlab (labor force participation rate among females) to try to predict Cancer (death rate per 100,000 population due to cancer) in the 50 U.S. states. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Variable Intercept Femlab Coefficients 343.619889 -2.2833659 Multiple Choice 0.313422848 0.098233882 0.079447088 32.07003698 50 Standard Error 61.0823514 0.99855319 t Stat 5.62552 -2.28667 Which statement is valid regarding the relationship between Femlab and Cancer? A rise female labor participation rate will cause the cancer rate to decrease within a state This model explains about 10 percent of the variation in state cancer rates. At the 05 level of significance, there isn't enough evidence to say the two variables are related. If your sister starts working, the cancer rate in your state will decline.
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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A researcher's results are shown below using Femlab (labor force participation rate among females) to try to predict Cancer (death rate per 100,000 population due
to cancer) in the 50 U.S. states.
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
Variable
Intercept
Femlab
Coefficients
343.619889
-2.2833659
Multiple Choice
0.313422848
0.098233882
0.079447088
32.07003698
50
Standard Error
61.0823514
0.99855319
t Stat
5.62552
-2.28667
Which statement is valid regarding the relationship between Femlab and Cancer?
A rise in female labor participation rate will cause the cancer rate to decrease within a state.
This model explains about 10 percent of the variation in state cancer rates.
At the 05 level of significance, there isn't enough evidence to say the two variables are related.
If your sister starts working, the cancer rate in your state will decline.
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