# statistics question here

**Question description**

## Question if you would like??

A pharmaceutical company conducts a study to evaluate the relationship
between length of time taking drug X and size of tumor. They enlist 2400
patients with the same type of benign tumor who have been on drug X for
varying lengths of time (measured in days). They find that the longer
the patient is on the drug, the smaller the patient’s tumor size
(measured in volume). In fact, they report the results as *r*(2398) = -.21, with significance of *p* < .0001. What is your initial perception of this information? What are other ways, beyond looking at the *p*-value alone, you could use to try to interpret what this outcome of *r*(2398)
= -.21 tells us about the relationship between length of time taking
drug X and the size of the tumor? Support your responses.

**250 words plus reference**

## Tutor Answer

**Quality**

**Communication**

**On Time**

**Value**

Brown University

1271 Tutors

California Institute of Technology

2131 Tutors

Carnegie Mellon University

982 Tutors

Columbia University

1256 Tutors

Dartmouth University

2113 Tutors

Emory University

2279 Tutors

Harvard University

599 Tutors

Massachusetts Institute of Technology

2319 Tutors

New York University

1645 Tutors

Notre Dam University

1911 Tutors

Oklahoma University

2122 Tutors

Pennsylvania State University

932 Tutors

Princeton University

1211 Tutors

Stanford University

983 Tutors

University of California

1282 Tutors

Oxford University

123 Tutors

Yale University

2325 Tutors