I need help solving this problem. The study focused on 4 questions:

1.Is there a significant association between coding experience and software development efficiency?

2. Does the software development efficiency differ between developers with more than 3 years of experience versus those with less than 3 years?

3. Do logical reasoning scores, technical interview ratings, and coding experience predict software development efficiency?

4.Is there a difference in software development efficiency among developers with low, average, and high scores on a technical interview?

For question 1, a One-Way Anova was chosen because coding experience (IV) is categorical and software development efficiency (DV) is continuous.

For question 2 an Independent Samples t-test was chosen because we are comparing a dependent continuous variable (software development efficiency) between two independent categorical groups (experience levels).

For question 3, a multiple regression analysis was chosen because software development efficiency is a continuous outcome variable. and logical reasoning scores, technical interview ratings, and coding experience are continuous predictor variables.

For question 4 a One-Way ANOVA was chosen because Technical interview score levels (IV) are categorial variable and software development efficiency (DV) is continuous variable (DV) You are comparing a continuous variable (efficiency) across three independent groups (interview score categories).

From the above information, please briefly answer the following: A) Explain the reason for selecting the statistical test chosen for my research question. B) Explain how the nature of the data continuous vs. categorial variables, and the research question can inform my choice? Please respond in a concise way in paragraph format. Thank you.