Pathak and Mhaske [201?] found that cell phone addiction 1was positively correlated to anxiety among college students in India. Cell phone addiction was assessed by a self-report questionnaire called the Problematic Use of Mobile Phone {PUMP} scale, and anxiety was measured by a survey called the State- Trait Anxiety Inventory {STAI}. Assume the data below came from 34 students participating in the study. [The data below are ctional, but the means and standard deviations are similarto the results reported in the actual study, as is the value of the correlation coefficient} Reference Pathak, V. R., & Mhaske, R. S. (2017). Loneliness and anxiety among mobile phone addicted college students. Indian Journal of Health & Wellbeing, 8(10), 1174-1177. Cell Phone Addiction Anxiety (PUMP) (STAI) 29 65 96 123 55 87 63 56 29 92 37 75 36 92 42 54 39 81 45 70 62 99 49 78 62 78 45 62 87 81 67 109 41 96 56 65 54 76 39 85 42 69\fQUESTIONS: Answer these questions from your results: 1. What is the value of r? 2. What is the coefficient of determination? 3. Explain what the coefficient of determination tells us? 4. According to Cohen's conventions, is this a small, medium, or large effect? 5. Click on "What is the associated p-value" and report that p-value here: 6. Is the p-value less than .05? 7. Using the .05 level of significance, is the correlation statistically significant? 8. Report the results in APA format