In: Statistics and Probability
The standard error of the regression coefficient is .009. Calculate a statistical test to determine if the regression coefficient differs from 0. State the research and null hypothesis. What table value is needed to reject the null hypothesis? What is the value of your calculated test statistic? What is the approximate probability of making a Type I error? What do you conclude about the nature of the linear relationship between state population density and covid19 mortality rate?
Answer:-
Given That:-
The standard error of the regression coefficient is .009. Calculate a statistical test to determine if the regression coefficient differs from 0. State the research and null hypothesis. What table value is needed to reject the null hypothesis? What is the value of your calculated test statistic? What is the approximate probability of making a Type I error? What do you conclude about the nature of the linear relationship between state population density and covid19 mortality rate?
Given,
The Standard error of Regression coefficient is 0.009
I considered a simple Linear regression model
where n is the sample size.
Now fitted model is
Where
and is the O.L.S estimater
Now we want to test,
verses
Test Statistic (t)
Put your regression coefficient value and you will get the test statistice.
Critical table value to reject H0:
which can be obtained from ttable with n - 2 degree of freedom and significance level .
Here I don't know how many sample size are there, so dear please put your sample size as n, then degree of freedom is n - 2 take = 0.05. Now using a calculator or t table = 0.05 and d.f = n - 2.
Conclusion:
If t > , we reject H0 and conclude there is a linear relationship.
If t < , we can't reject H0 ,so we conclude there is no linear relationship.
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