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Please consider offering answers and suggestions to help other students! And if you fix a problem by following a suggestion here, it would be great if other interested students could see a short "Great, fixed it!"  followup message.

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 UWA week 19 (1st semester, week 10) ↓
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1:00pm Sun 12th May, ANONYMOUS

Hi Professor,

Kindly elaborate the 3rd filter regarding the year and cantril score more, because its not working after many attempts also.


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1:11pm Sun 12th May, ANONYMOUS

ANONYMOUS wrote:

Hi Professor,

Kindly elaborate the 3rd filter regarding the year and cantril score more, because its not working after many attempts also.

And one more thing, 1.We need to ignore all the years less than 2011 and greater than 2021. 2. then apply the filter for just choosing the years than has cantril score greater than 3? please assist


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1:14pm Sun 12th May, Michael W.

ANONYMOUS wrote:

ANONYMOUS wrote:

Hi Professor,

Kindly elaborate the 3rd filter regarding the year and cantril score more, because its not working after many attempts also.

And one more thing, 1.We need to ignore all the years less than 2011 and greater than 2021. 2. then apply the filter for just choosing the years than has cantril score greater than 3? please assist

Hi, Please see the response to the earlier thread: About the description of best_predictor, and get back to me if anything there is unclear.

Cheers MichaelW


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1:26pm Sun 12th May, ANONYMOUS

is the sample data correct with all the valid data?, because the correlation values are not matching.


 UWA week 20 (1st semester, week 11) ↓
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2:50pm Mon 13th May, Michael W.

Hi, Yes, the sample data is correct. Because I was worried on that score, I did a couple countries by hand in the Excel spreadsheet. That corresponds to Sample 1, which is the same as Sample 2, except the later also contains a couple countries which do not have sufficient Cantril data points so are not included by the best predictor program.

The point is that it's always useful to have some external data to verify the methods used by your program, beyond simply assuming that the methods are necessarily right. If there is a difference, ask "Why is that?".

Cheers MichaelW 👨‍🎨

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