Please explain the answer. The question is in the image bellow, thank you.

A nurse informaticist discovered an increase in catheter-associated urinary tract infections (CAUTI) at the hospital. The nurse evaluated the association among CAUTIs, admitting diagnosis, and gender of adult patients. The nurse extracted data from the electronic health record (EHR) and performed a simple linear regression. What is an appropriate alternate hypothesis? There is no significant relationship between CAUTIs and data in the EHR. There is a significant relationship between admitting diagnosis and gender. There is a significant relationship among CAUTIs, admitting diagnosis, and gender. There is no significant relationship among CAUTIs, admitting diagnosis, and gender