Question

In what follows use any of the following tests: Regression,
multiple regression, one-sided t-test, or two-sided t-test. All
conclusions should be based on 5% *P*-value threshold.

Choose the best fitting answer.

**Open** Brains data. **SETUP:** You
are asked to check if there is difference in the averages of Head
Circumference and Weight. Given the data, your job is to perform
the appropriate statistical test or procedure.

**9. What test did you perform?**

- a. Regression
- b. Multiple regression
- c. One-sided t-test
- d. Two-sided t-test

**10. What is the P-value?**

- a. 0.308149253
- b. 1.9133E-17
- c. 5.73019E-05
- d. 0.000114604
- e. None of these

**11. What is the Statistical interpretation?**

- a. Since
*P*-value is very small we can conclude that there is significant difference between the average weight and head circumference. - b. Since
*P*-value is too large we cannot conclude that there is significant difference between the average weight and head circumference. - c. Since
*P*-value is too large we cannot conclude weight and head circumference are related. - d. None of these.

**12. What is the conclusion?**

- a. Test is inconclusive; thus nothing can be concluded.
- b. Test does not make sense, it compares “apples and oranges”.
- c. Test is inconclusive; thus we cannot claim that weight influences head size.
- d. None of these.

DATA: https://www.limes.one/Content/DataFiles/Brains.txt

Answer #1

PLEASE PLEASE PLEASE LEAVE A THUMBS UP!!

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