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March 22nd, 2014, 04:43 AM   #1
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Interpreting R-output (multiple regression)

Hi,

I'm doing some statistics in Rstudio but i'm having troubles interpreting the output. Can someone help me (see output 1 below)?

1) What is the difference between the p-value at the bottom right and the p-value after each variable?
2) Which nulhypothesis and alternative hypothesis are used in the t-test to generate these p-values?
3) At a significance level of 0.05, does this mean that only the intercept, population and murder are significant? Does this mean that they are significantly correlated with the expected duration of a life (Life.Exp)?
So you could make this model: Life.exp = 7.094E+01 + 6.249E-05(population) - 3.319E-01(murder)
4) What happens if the p-value of the intercept is large (example: 0.267 > 0.05)? How do I have to interpret that (see second output)?
5) What to do if the p-value at the bottom right is large??

Thanks!!

Since an error occurs trying to upload attachments on this site, I uploaded the output on an other site:

http://postimg.org/image/bhuqkpuar/ (output 1)
http://postimg.org/image/6uxvaflpf/ (output 2)
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