In residual analysis, what does it look like when variances are not constant?
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- variation around the red line is larger further along the X
axis
What is Parsimony?
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, - the principle of explaining the most variation with the least number of
variables (i.e. the simplest model)
How to test the significance of the linear regression model?
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- looking at the F value and P value in the ANOVA table generated by R
commander
- H0: the regression model is not significant
- H1: the regression model is signifcant
- the p-value in the ANOVA table tests how well the overall model explains
the dependent variable; the significance of the overall model
What is positive predictive value? What is negative predictive value? re: categorical
agreement
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positive predictive value = proportion of test positives that are true
positives
negative predictive value = proportion of test negatives that are true
negatives
What is the type 1 error?
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, - we reject the null hypothesis however there is actually no difference
between groups (false positive)
- p-value = probability of type 1 error = significance level
Linear regression equation:
What is b1?
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- the regression coefficient (slope of the line)
- how much Y changes for a one unit change in X
What are the requirements for the variables if using linear regression?
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- want to find the relationship between the independent (X) and dependent
variable (Y)
- both variables are continuous so you can plot as a scatter plot
- want to determine the straight line that best "fits" the data
What is a gold standard re: agreement?
Give this one a try later!
Give this one a try later!
- variation around the red line is larger further along the X
axis
What is Parsimony?
Give this one a try later!
, - the principle of explaining the most variation with the least number of
variables (i.e. the simplest model)
How to test the significance of the linear regression model?
Give this one a try later!
- looking at the F value and P value in the ANOVA table generated by R
commander
- H0: the regression model is not significant
- H1: the regression model is signifcant
- the p-value in the ANOVA table tests how well the overall model explains
the dependent variable; the significance of the overall model
What is positive predictive value? What is negative predictive value? re: categorical
agreement
Give this one a try later!
positive predictive value = proportion of test positives that are true
positives
negative predictive value = proportion of test negatives that are true
negatives
What is the type 1 error?
Give this one a try later!
, - we reject the null hypothesis however there is actually no difference
between groups (false positive)
- p-value = probability of type 1 error = significance level
Linear regression equation:
What is b1?
Give this one a try later!
- the regression coefficient (slope of the line)
- how much Y changes for a one unit change in X
What are the requirements for the variables if using linear regression?
Give this one a try later!
- want to find the relationship between the independent (X) and dependent
variable (Y)
- both variables are continuous so you can plot as a scatter plot
- want to determine the straight line that best "fits" the data
What is a gold standard re: agreement?
Give this one a try later!
