I want to find relationship between a "priority value" and "billable status."
The priority value is a numeric value that is an integer in the set of real numbers (can be negative, zero, or positive)
The billable status is basically a binomial: either billable or nonbillable.
The null hypothesis would be "priority value has no relationship to billable status."
The alternative hypothesis would be "priority value shows a clear relationship to billable status."
Here is the dataset, sorted ascending by priority (1st column). Clearly NB = nonbillable, B = billable
-143 NB
-45 NB
-45 NB
-38 NB
-21 NB
-21 NB
-21 NB
-17 NB
-17 NB
-12 NB
-11 B
-4 NB
-4 NB
0 B
0 B
0 B
0 NB
0 NB
0 NB
0 NB
0 B
7 B
10 B
17 B
21 B
21 NB
21 NB
34 B
34 NB
I was thinking a chi-square test could be done, but the other data is binomial. Looking elsewhere there was talk about "logistic regression," but I don't see how that figures.
Anyone want to suggest what I should look at?
The priority value is a numeric value that is an integer in the set of real numbers (can be negative, zero, or positive)
The billable status is basically a binomial: either billable or nonbillable.
The null hypothesis would be "priority value has no relationship to billable status."
The alternative hypothesis would be "priority value shows a clear relationship to billable status."
Here is the dataset, sorted ascending by priority (1st column). Clearly NB = nonbillable, B = billable
-143 NB
-45 NB
-45 NB
-38 NB
-21 NB
-21 NB
-21 NB
-17 NB
-17 NB
-12 NB
-11 B
-4 NB
-4 NB
0 B
0 B
0 B
0 NB
0 NB
0 NB
0 NB
0 B
7 B
10 B
17 B
21 B
21 NB
21 NB
34 B
34 NB
I was thinking a chi-square test could be done, but the other data is binomial. Looking elsewhere there was talk about "logistic regression," but I don't see how that figures.
Anyone want to suggest what I should look at?