<prompt> Please answer with one of the option in the bracket. Write reasoning in between . Write answer in between .Q:A group of researchers is looking to study the effect of body weight on blood pressure in the elderly. Previous work measuring body weight and blood pressure at 2-time points in a large group of healthy individuals revealed that a 10 increase in body weight was accompanied by a 7 mm Hg increase in blood pressure. If the researchers want to determine if there is a linear relationship between body weight and blood pressure in a subgroup of elderly individuals in this study, which of the following statistical methods would best be employed to answer this question?? A: One-way analysis of variance ANOVA, B: Two-way analysis of variance ANOVA, C: Pearsons correlation, D: Spearmans correlation, E: Wilcoxon signed-rank test,  <response>: This is a question asking about the appropriate statistical method to analyze the relationship between two continuous variables, body weight and blood pressure, in a specific population elderly individuals. The key points are:- The goal is to determine if there is a linear relationship between body weight and blood pressure- Both variables are continuous - Previous data showed a positive association between a 10 increase in weight and a 7 mm Hg increase in blood pressureANOVA tests differences between group means and would not be appropriate here since we have continuous variables. Pearsons correlation measures the strength and direction of the linear relationship between two continuous variables, which aligns with the goal here.Spearmans correlation also measures the strength of association between two variables, but it assesses monotonic relationships rather than linear ones specifically. The Wilcoxon signed-rank test compares repeated measurements on a single sample and does not apply in this scenario.Therefore, Pearsons correlation would be the best statistical method to employ to determine if there is a linear relationship between body weight and blood pressure in this elderly subgroup.C: Pearsons correlation 