Findings between Variables

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Boat Crash Statistics
The boat crash statistics provides several statistical relations which have a great significance. Several relationships can be established to help in determining whether a boat will crash or not. In this case, the major focus will be analyzing the different variables provided to establish whether there exists a correlation. The five groups established include: (1) Season that the trip was taken and whether the boat sank or not; (2) Years of Training and whether the boat sank or not; (3) If captain was married or not and whether the boat sank or not; (4) Age of Captain and Distance Traveled; and (5) Gender of Captain and Distance Traveled.
After conducting a Spearman’s who on the season the trip was taken and whether the boat sank or not, the Spearman’s rho value was 0.75 indicating a strong relationship between on whether a boat would sink based on the season the trip was taken. An educated guess would be that a trip taken in summer would have lower chances of the boat sinking than the one taken during winter. Similarly, after conducting a Spearman’s rho on years of training and whether the boat sank or not. A weak relationship was established with r = 0.36 and p = 0.11 implying a weak connection between the two. After testing the Pearson’s correlation between captain’s marital status and whether the boat sank or not, the data reveals that there exists a very weak relationship between marital status and boat sinking or not CITATION Coa09 p 120 l 1033 (Coakes and Steed 120).

After conducting a Pearson’s correlation, the values indicate that the gender of captain has a weak relationship with distance traveled. As Coakes and Steed inform, one could infer that distance traveled is not based on gender but the purpose of travel and time the trip was taken (122). After conducting a Pearson Correlation, the Pearson correlation value for Age of Captain and Distance Traveled was 0.258 and a p-value of 0.70. The values indicate that there exists a weak relationship between age of captain and distance traveled. One can infer that the distance traveled is mainly determined by the purpose of the trip or some other factor rather than the age of the captain.
Works Cited
BIBLIOGRAPHY Coakes, S. J and L Steed. SPSS: Analysis without anguish using SPSS version 14.0 for Windows. John Wiley & Sons, Inc., 2009.