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Posted 02-16-2022 09:46 PM
(734 views)
1) Is there a relationship between maternal height and baby length?
My code:
proc reg data= birthw.birthweight;
model mheight = length;
run;
- State your null and alternative hypothesis: Honestly I am uncertain of how to write the hypothesis because I did not think they would be able to relate the variables but I believe they are related due to the correlation on the graphs I get using my code.
- What is the rho value for this analysis? is the rho= 0.2352?
- Make your scatter plat for this analysis, does it confirm your rho findings? Yes, there was scatterplot using proc reg
- Does a statically significant relationship exist between these two variables? If so, interpret:I believe there is a relationship but not sure on how to prove it.
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@saza wrote:
- State your null and alternative hypothesis: Honestly I am uncertain of how to write the hypothesis because I did not think they would be able to relate the variables but I believe they are related due to the correlation on the graphs I get using my code.
Your hypothesis isn't what you think the answer is, it's what the question is, which is defined for you. You need to translate the words into a statistical test comparison.
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So please correct me if I'm wrong. I'm new to statistics and am just trying to apply my knowledge here:
For the above data we find that Perimeter estimate is equal to 1.07 and the F statistic is equal to 12.03 . Therefore, at the 95% confidence level we Fail to Reject the null hypothesis that maternal height has an effect on baby length with a p value of 0.0011
For the above data we find that Perimeter estimate is equal to 1.07 and the F statistic is equal to 12.03 . Therefore, at the 95% confidence level we Fail to Reject the null hypothesis that maternal height has an effect on baby length with a p value of 0.0011
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OR is it this?
The null and alternative hypotheses for this analysis are
H0: There is not a linear relationship between exposure and mortality (R=0)
H1: There is a linear relationship between exposure and mortality (R≠0)
The null and alternative hypotheses for this analysis are
H0: There is not a linear relationship between exposure and mortality (R=0)
H1: There is a linear relationship between exposure and mortality (R≠0)
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"The null and alternative hypotheses for this analysis are
H0: There is not a linear relationship between exposure and mortality (R=0)
H1: There is a linear relationship between exposure and mortality (R≠0)"
This looks more like what you want in the way of hypothesis testing.
SteveDenham