_ C 0v\" _ (s_.)(s.) A researcher hypothesizes that the attraction one feels for a potential partner increases the anxiety one feels during the first date. Higher numbers indicate higher attraction and anxiety (on a scale of 1-7 for both). She obtains a sample of 70 participants and from that computes the covariance, and standard deviations for anxiety and attraction, reported below. For this question, what is the correlation between attraction and anxiety? I\" Covariance = 1.20 sdlattraction) = 2.90 sdlanxiety) = 2.70 Make sure to enter only the correlation in your answer and carry it out two decimal places (e.g., .45). Use the formula above. Your Answer: :l Answer Question 2 (5 points) Interpret the correlation you obtained in the previous question. Question 3 (5 points) Got the web page below and compute the CI for the correlation. Use the correlation you computed and the sample size given you in Question 1. Use the .95 interval that the website reports (it's the first row). http://vassarstats.net/rho.htm| Question 4 (5 points) Based on your response to the previous question (the Cl), what do you conclude about the relationship between anxiety and attraction? Would you reject the null hypothesis? Why or why not? Question 5 (4 points) A researcher hypothesizes that educational status predicts liking for jazz music. Educational status is measured by years in school (where 12 years corresponds to a high school degree, 16 years to a college degree--more or less, 18 years an MA, and so on) and liking forjazz on a scale of 1 to 7, with higher numbers indicating greater appreciation for that style of music. Correlation 0.50 5Education 3-5 sJazz 2-0 What is the regression coefficient for these data? Use the formula above. Provide only a numeric response out to two decimal places (e.g., .30). Your Answer: :l Answer 'Ouestion 6 (4 points) Question 6 options: Evaluate the correlation from question 5 above. Address both its direction and magnitude using terms from the textotes. (You should be able to answer this in a sentence or two.) Question 7 (4 points) Evaluate the regression coefficient (the statistic you computed) from question 5 above. Interpret it as discussed in class. (You should be able to answer this in one sentence.) Question 8 (4 points) Sr = 514/1 r2 A researcher asks if study time (in hours) predicts test performance (0-100). She asked students to report study time prior to giving an exam. She obtained the following data: Standard deviation of test performance: 10.00 Correlation between study time and test performance: 0.60 Compute the standard error of the estimate using the formula above. Your Answer: Answer Question 9 (4 points) What do you conclude about predicting test performance with study time? Is it an improvement over predicting test scores with the mean test score? Why or why not? 5/ D View hint for Question 9