Use theHurricanes(link at bottom)data and via Multiple regression select the three input variables Min pressure, Gender, Category in order to predict the All Deaths Pick one of the three variables that has the best P value and re do the regression using ONLY this one variable to predict the All deaths Answer the questions (Numerical answers are rounded so choose the answer that matches the best) Answer the questions for Assessment 13 What variable did you pick a Gender b Min Pressure c Category 14 What is the P value associated to the variable in new table (Note numbers are truncated ) a 8 48599E 05 b 3618 001807 c 9 98769E 05 d 3 710605958 15 Based on the second table, how would you characterize the Regression fit a Poor b Excellent c None of the above 16 The intercept has coefficient of 3618 001 Which is the best interpretation of this number a The number does not make sense since hurricane of category zero is not a hurricane b The number does not make sense since we cannot have atmospheric pressure zero c The X intercept It is how many death is expected if Pressure is zero d The Y intercept It is how many death is expected if Category is zero https www limes one Content DataFiles Huricanes txt

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Question: Use theHurricanes(link at bottom)data and via Multiple regression select the three input variables: Min-pressure, Gender, Category in order to predict the All-Deaths. Pick one of

Use theHurricanes(link at bottom)data and via Multiple regression select the three input variables: Min-pressure, Gender, Category in order to predict the All-Deaths. Pick one of the three variables that has the best P-value and re-do the regression using ONLY this one variable to predict the All-deaths. Answer the questions. (Numerical answers are rounded so choose the answer that matches the best).

Answer the questions for Assessment:

13. What variable did you pick?

a. Gender
b. Min-Pressure
c. Category

14. What is the P-value associated to the variable in new table? (Note: numbers are truncated.)

a. 8.48599E-05
b. 3618.001807
c. 9.98769E-05
d. -3.710605958

15. Based on the second table, how would you characterize the Regression fit?

a. Poor
b. Excellent
c. None of the above

16. The intercept has coefficient of 3618.001. Which is the best interpretation of this number?

a. The number does not make sense since hurricane of category zero is not a hurricane.
b. The number does not make sense since we cannot have atmospheric pressure zero.
c. The X-intercept; It is how many death is expected if Pressure is zero
d. The Y-intercept; It is how many death is expected if Category is zero.

https://www.limes.one/Content/DataFiles/Huricanes.txt

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