Data Visualization-Quiz 5

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Create this graph in Stata using the EG DIB Village-Level Data. Enter the actual coefficient and standard error in the specified location, rounded to the nearest 0.01. Note that the scheme is “s1color”.

1. What is the slope of the fitted line? Round to the nearest 0.01. *

1 point

2. What is the standard error on the slope of the fitted line? Round to the nearest 0.01 *

1 point

3. Is the slope significantly different from 0? *

1 point

Yes, significant at the 5% level

Yes, significant at the 10% level but not at the 5% level

Impossible to say

4. How would a local polynomial fit compare to the linear fit in the graph above? *

1 point

A local polynomial would fit the data better, and the slope would be constant, so it would be easy to describe the relationship between baseline and endline scores

A local polynomial would fit the data better, but since the slope would vary across the range, it would be harder to describe the relationship between baseline and endline scores

A local polynomial would fit the data worse, and since the slope would vary across the range, it would be harder to describe the relationship between baseline and endline scores

A local polynomial would fit the data better, but since you cannot estimate a confidence interval with a local polynomial, you could not statistically compare the slope to 0 at any point

A local polynomial would fit the data worse, and since you cannot estimate a confidence interval with a local polynomial, you could not statistically compare the slope to 0 at any point

You cannot fit a local polynomial to the data in the graph above

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