10. [-/3 Points] DETAILS DEVORESTAT9 12.2.019.S. The following data is represent burner area liberation rate (MBtu/hr-ft") and y = NO, emission rate (ppm): * 100 125 125 150 150 200 200 250 250 300 300 350 400 400 150 150 190 220 200 320 290 390 430 450 400 590 610 670 LA USE SALT (a) Assuming that the simple linear regression e of the true regression line. (Round all numerical values to four decimal places.) b) What is the estimate of expect equals 205? (Round your answer to decimal places.) ppm (c) Estimate the amount by which you expect NO emission rate to cha sed by 40. (Round your answer to two decimal places.) ppm (d) Would you use the estimated regression line to gression line to predict emission rate for a liberation rate of 500? Why or why not? Yes, the data is perfectly linear, thus lending to accurate predictions. O Yes, this value is between two existing values. O No, this value is too far away from the known values for useful extrapolation. O No, the data near this point deviates from the overall regression model. Need Help? Read It 11. [-/3 Points] DETAILS DEVORESTAT9 12.5.057. The article "Behavioural Effects of Mobile Teleph The younger a subject is, the more time since they acquired their I one Use During Simulated Driving"t reported that for a sample of 20 exp e since the subject had acquired a driving license (yr) was 0.97. Why do you think the value of r is so close to 1? (The article's authors give an explanation.) O The older a subject is, the less time since they acquired their license. O The older a subject is, the more time since they acquired their license This is a mistake. The value should be close to -1. O This is a mistake. The value should be close to 0. Need Help? Read It 12. [-/3 Points] DETAILS DEVORESTAT9 12.5.060. A statistical program is recommended Head movement evaluations are important because individuals, especially those who are disabled, may be able to ope ation angle (AMIA) both in the clockwise direction and rclockwise direction. Subj: 3 5 lockwise (CI): 57.9 35 7 0 11 12 13 8 51.1 70.8 77.3 51.6 54.7 63.6 59.2 59.2 55.8 38.5 Counterclockwise (Co): 43.2 52.1 60.2 52.7 47.2 65.6 71.4 48.8 53.1 66.3 59.8 47.5 64.5 34.5 (a) Calculate a point estimate of the population correlation coefficient between CI AMIA and Co AMIA () CI = 784.7, ) Co = 766.9, > CI" = 45,506.71, > Co? = 43,390.67, > CICo = 44,017.07. Round your answer to three decimal places.) (b) Assuming bivariate normality (normal probability plots of the ulation (as do the authors of the cited paper). State the appropriate null and alternative hypotheses. OHgip=0 Hop= 0 H:P=0 OH: p # 0 Calculate the test statistic and determine the P-value. (Round your te two decimal places and your P-value to three decimal places.) t = P-value = State the conclusion in the problem context O Reject H . The population correlation coefficie ckwise rotation is not zero. O Reject Ho. The population c ckwise rotation is zero. O Fail to reject H . The population se rotation is zero. O Fail to reject H. The population correl rise and counterclockwise rotation is not zero. Would the conclusion have been the same if a significance level of 0.001 had been used? O We would make the same conclusion at the 0.001 leve We would make the same conclusion at the 0.001 level, as the P-value is less than 0.001. O We would not make the same conclusion at the 0.001 level, as the P-value is between 0.001 and 0.01. O We would make the same conclusion at the 0.001 level, as the P-value is between 0.001 and 0.01. Need Help? Read It