A 95% confidence interval for the slope of a simple linear regression model is found to be (0.0046, 0.0252). This means that Select one: a. We are 95% confident the value of the predictor variable will increase by between 0.0046 and 0.0252 units. b. We are 95% confident that the average value of the response value lies between 0.0046 and 0.0252 c. We are 95% confident that the average value of response increases by between 0.0046 and 0.0252 units for every unit increase in the predictor. d. At 5% level of significance, there is no statistical evidence of a linear relationship between response and predictor
A 95% confidence interval for the slope of a simple linear regression model is found to be (0.0046, 0.0252). This means that Select one: a. We are 95% confident the value of the predictor variable will increase by between 0.0046 and 0.0252 units. b. We are 95% confident that the average value of the response value lies between 0.0046 and 0.0252 c. We are 95% confident that the average value of response increases by between 0.0046 and 0.0252 units for every unit increase in the predictor. d. At 5% level of significance, there is no statistical evidence of a linear relationship between response and predictor
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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A 95% confidence interval for the slope of a simple linear regression model is found to be (0.0046, 0.0252). This means that
Select one:
a. We are 95% confident the value of the predictor variable will increase by between 0.0046 and 0.0252 units.
b. We are 95% confident that the average value of the response value lies between 0.0046 and 0.0252
c. We are 95% confident that the average value of response increases by between 0.0046 and 0.0252 units for every unit increase in the predictor.
d. At 5% level of significance, there is no statistical evidence of a linear relationship between response and predictor
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