Hi Ali, Is there really no order to the 9 X categories? What is X?

But anyway… the table looks like this:

table(df)
       Y
X        0  1  2  3
  20100  4  1  2  1
  20200  4  2  0  0
  20300 30  7  5  4
  20400 10  4  2  0
  20500 32  5  4  2
  20600 21  5  2  1
  20700 51 11  4  1
  20800 59  5  2  6
  20900 33  3  2  1
So there are a lot more subjects with X codes above 20200, but there is no apparent effect of X-level on Y level: Y0 is common for all values of X, and Y3 less so… Hence:

chisq.test(table(df)) X-squared = 25.7405, df = 24, p-value = 0.3665

Best wishes,

tim


On 4 Oct 2012, at 10:21 AM, Ali Zanaty zanaty2005@yahoo.com wrote: Here are the data:(any help will be appreciated).I am not sure if I did it right. —– Forwarded Message —– Dear All: I have two variables: X (nominal categorical) has 9 categories. Y(ordinal categorical) has 4 categories.

1-I fit a logistic regression using Y as the response variable and X as the independent variable. The P VALUE was 0.2373. This tells me that the independent variable X is NOT significant predictor.

2- I run a chi-square test to test if there is a relationship (association ship) between both X and Y variables. The P VALUE was 0.0013. That is there is statistical evidence of association between the two variables.

3- I collapsed the 4 categories of the Y-variable into 2 categories. I run a chi-square test to test if there is a difference(s) among proportions of the X-variable (the equality of the 9 proportions). The P VALUE was 0.0037. That is there is statistical evidence of differences among the 9 proportions.

On 4 Oct 2012, at 10:21 AM, Ali Zanaty <zanaty2005@yahoo.com> wrote:
> Here are the data:(any help will be appreciated).I am not sure if I did it right.
> ----- Forwarded Message -----
> Dear All:
> I have two variables:
> X (nominal categorical) has 9 categories.
> Y(ordinal categorical) has 4 categories.
> 
> 1-I fit a logistic regression using Y as the response variable and X as the independent variable. The P VALUE was
> 0.2373. This tells me that the independent variable X is NOT significant
> predictor.
> 
> 2- I run a chi-square test to test if there is a relationship (association ship) between
> both X and Y variables. The P VALUE was 0.0013. That is there is statistical
> evidence of association between the two variables.
>  
> 3- I collapsed the 4 categories of the Y-variable into 2 categories. I run a
> chi-square test to test if there is a difference(s) among proportions of the X-variable (the equality of the 9 proportions). The P VALUE was 0.0037. That is there is statistical
> evidence of differences among the 9 proportions.

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