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Dear All,
I am trying to predict the number of teenage pregnancies in 2015 based on values for 2004-2009. I want to see if we will hit our target of 15 per 1000 by that year. A simple linear regression in spss 17 predicts a value of 47.5, with a 95% range of 25.8 to 67.4. So it it safe to say that we won't hit our target. My question though was what if our target was 35. How you intercept the results then? The target would be inside your 95% interval, but a long way off from 47.5. thanks for any thoughts... Regards, Jimbo ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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Jimbo,
The confidence interval is not about evaluating reality ("Have we meet or will we meet our target") but about the predictive ability of your data and your model. It means that you have confidence that if your five measurements are random samples of the many (inexact) measurements that you may have for the 2004-2009 period, then the true value for any of those five years will be within the confidence interval 95% of the time. In your case, you extend this belief to the NEXT year (2010), which is in fact outside your range of observation and thus may have a still larger margin of possible error. However, a 95% confidence level means that 95% of the time the true value will be within the interval, with 2.5% chances of being below, and 2.5% of being above. Of all the values in the interval, your "best prediction" is the midpoint, but in this uncertain world things may be different. If the observed value is actually within the interval, then you may conclude that YOUR DATA AND MODEL behave reasonably well. But this is not about your target: it is about your data. Whether the predicted value is or is not within a reasonable distance of your target is a totally different matter. As you suggest, if your target is 15, you're way off the mark: there are (if your model is correct and your data are good) 97.5% chances that the true value will be above 25.8, well above your target. Of course, if your target was 35, this value is within the interval (from 25.8 to 67.4) emerging from your model, and you may say that you have some chances of hitting the target but will probably be above it (since your best prediction is 47, not 35). If your target was 47, your best prediction is that you will hit this target, though there is a wide margin of error in that prediction, so do not call a press conference just as yet. Hector -----Mensaje original----- De: SPSSX(r) Discussion [mailto:[hidden email]] En nombre de Spot Fire Enviado el: Sunday, August 15, 2010 11:42 PM Para: [hidden email] Asunto: Prediction against target (stats question, not SPSS) Dear All, I am trying to predict the number of teenage pregnancies in 2015 based on values for 2004-2009. I want to see if we will hit our target of 15 per 1000 by that year. A simple linear regression in spss 17 predicts a value of 47.5, with a 95% range of 25.8 to 67.4. So it it safe to say that we won't hit our target. My question though was what if our target was 35. How you intercept the results then? The target would be inside your 95% interval, but a long way off from 47.5. thanks for any thoughts... Regards, Jimbo ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD Se certificó que el correo entrante no contiene virus. Comprobada por AVG - www.avg.es Versión: 8.5.441 / Base de datos de virus: 271.1.1/3064 - Fecha de la versión: 08/15/10 18:35:00 ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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In reply to this post by Spot Fire
It isn't completely clear what is going on here, but you have far too little data for good prediction, ignoring the issue of problems with predicting the future. Even if you had enough data it isn't clear whether you have a trend to model or not.
Was there an intervention implemented in 2003/2004 that you are trying to evaluate? Was there an intervention implemented in 2009 that you are trying to evaluate?
If there was no intervention until 2009 then you have no trend to model from 2004 -2009 data.
Michael
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Michael Granaas [hidden email] Assoc. Prof. Phone: 605 677 5295 Dept. of Psychology FAX: 605 677 3195 University of South Dakota 414 E. Clark St. Vermillion, SD 57069 ***************************************************** From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Spot Fire [[hidden email]] Sent: Sunday, August 15, 2010 9:41 PM To: [hidden email] Subject: Prediction against target (stats question, not SPSS) Dear All,
I am trying to predict the number of teenage pregnancies in 2015 based on values for 2004-2009. I want to see if we will hit our target of 15 per 1000 by that year. A simple linear regression in spss 17 predicts a value of 47.5, with a 95% range of 25.8 to 67.4. So it it safe to say that we won't hit our target. My question though was what if our target was 35. How you intercept the results then? The target would be inside your 95% interval, but a long way off from 47.5. thanks for any thoughts... Regards, Jimbo ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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