We want to explore the difference between salary (in dollars) and the number of years of job experience that an employee has.Which of the following is the most appropriate statistical test to use to determine if there is a relationship between salary and years of experience? Matched pairs Two-sample t-test ANOVA Inference for regression Chi-squared test for independence
Question
We want to explore the difference between salary (in dollars) and the number of years of job experience that an employee has.Which of the following is the most appropriate statistical test to use to determine if there is a relationship between salary and years of experience? Matched pairs Two-sample t-test ANOVA Inference for regression Chi-squared test for independence
Solution
The most appropriate statistical test to use to determine if there is a relationship between salary and years of experience would be the "Inference for regression". This is because you are trying to determine a possible relationship between two quantitative variables - salary and years of experience. Inference for regression is used to analyze the relationship between two quantitative variables, making it the most suitable choice in this scenario.
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