9. ACT scores range from 1 to 36 and are normally distributed where N (21.5, 5.4)....

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9. ACT scores range from 1 to 36 and are normally distributed where N (21.5, 5.4). SAT scores range from 600 to 2400 and are normally distributed where N (1498, 316). Jorge scores 2090 on the SAT. If both tests measure the same thing, what score on the ACT is equivalent to Jorge's SAT score? 10. A study was conducted to determine the correlation between the number of absences and the final grades of ten randomly selected students from a statistics class. The equation of the least- squares regression line is: y=-3.62x+102.49 a) Interpret the slope in the context of the problem. b) Interpret the y-intercept. c) How many absences could the student have and still pass the course? Assume that 75% is passing. The following points are in a data set: (120, 250) and (220, 170). Give 1 points that will satisfy correlation coefficient of r = -1. Briefly explain what is meant by the 68-95-99.7 rule and for what type of distribution it is applied. The five-number summary of SAT math scores was 200, 440, 510, 600, and 800. Using the 1.5 x IQR rule, determine if there exist any outliers. 9. ACT scores range from 1 to 36 and are normally distributed where N (21.5, 5.4). SAT scores range from 600 to 2400 and are normally distributed where N (1498, 316). Jorge scores 2090 on the SAT. If both tests measure the same thing, what score on the ACT is equivalent to Jorge's SAT score? 10. A study was conducted to determine the correlation between the number of absences and the final grades of ten randomly selected students from a statistics class. The equation of the least- squares regression line is: y=-3.62x+102.49 a) Interpret the slope in the context of the problem. b) Interpret the y-intercept. c) How many absences could the student have and still pass the course? Assume that 75% is passing. The following points are in a data set: (120, 250) and (220, 170). Give 1 points that will satisfy correlation coefficient of r = -1. Briefly explain what is meant by the 68-95-99.7 rule and for what type of distribution it is applied. The five-number summary of SAT math scores was 200, 440, 510, 600, and 800. Using the 1.5 x IQR rule, determine if there exist any outliers.