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n a = 0.05 a = 0.01 4 0.95 0.99 5 0.878 0.959 6 0.811 0.917 0.754 0.875 8 0.707 0.834 0.666 0.798 10 0.632

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n a = 0.05 a = 0.01 4 0.95 0.99 5 0.878 0.959 6 0.811 0.917 0.754 0.875 8 0.707 0.834 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.59 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.43 40 0.312 0.402 45 0.294 0.378 50 0.279 0.361 60 0.254 0.33 70 0.236 0.305 80 0.22 0.286 90 0.207 0.269 100 0.196 0.256Question: Hypothesis testing based on r (correlation) Click the 'scenario' button below to review the topic and then answer the following question: Description: A downloadable spreadsheet named CV of r was provided in the assessment instructions for you to use for this question. In some workplaces, the longer someone has been working within an organization, the better the pay is. Although seniority provides a way to reward long- serving employees, critics argue that it hinders recruitment. Jane, the CPO, wants to know if XYZ has a seniority pay system. Question: Based on the salary and age data in the spreadsheet, find the value of the linear correlation coefficient r, and the p-value and the critical value of r using alpha = 0.05. Determine whether there is sufficient evidence to support the claim of linear correlation between age and salary

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