* 12nyTM Up to 12-hour battery life 14" FHD IPS displayWeek 14: Chapter 12 - Linear Re Xightingale.instructure.com/courses/3057255/assignments/28988705?module_item_id=6243)ble Flash...Question 2<>What is the relationship between the amount of time statistics students study per week and their finalexam scores? The results of the survey are shown below.Time716119.74.10Score86581001006775897885a. Find the correlation coefficient: r =Round to 2 decimal places.b. The null and alternative hypotheses for correlation are:Ho: ? vH1: ? v= 0The p-value is:(Round to four decimal places)c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the contextof the study.O There is statistically significant evidence to conclude that a student who spends more timestudying will score higher on the final exam than a student who spends less time studying.There is statistically significant evidence to conclude that there is a correlation between thetime spent studying and the score on the final exam. Thus, the regression line is useful.O There is statistically insignificant evidence to conclude that a student who spends more timestudying will score higher on the final exam than a student who spends less time studying.O There is statistically insignificant evidence to conclude that there is a correlation between thetime spent studying and the score on the final exam. Thus, the use of the regression line is notappropriate.d. p2 =(Round to two decimal places)e. Interpret r2:O Given any group that spends a fixed amount of time studying per week, 77% of all of thosestudents will receive the predicted score on the final exam.acer Up to 12-hour battery life 14" FHD IPS displayO Week 14: Chapter 12 - Linear Re Xhtingale.instructure.com/courses/3057255/assignments/28988705?module_item_id%3D6243711-Flash..appropriate.d. r2 =(Round to two decimal places)e. Interpret 72:O Given any group that spends a fixed amount of time studying per week, 77% of all of thosestudents will receive the predicted score on the final exam.O There is a large variation in the final exam scores that students receive, but if you only look atstudents who spend a fixed amount of time studying per week, this variation on average isreduced by 77%.O77% of all students will receive the average score on the final exam.O There is a 77% chance that the regression line will be a good predictor for the final exam scorebased on the time spent studying.f. The equation of the linear regression line is:=x (Please show your answers to two decimal places)g. Use the model to predict the final exam score for a student who spends 11 hours per week studying.Final exam score =(Please round your answer to the nearest whole number.)h. Interpret the slope of the regression line in the context of the question:O For every additional hour per week students spend studying, they tend to score on averge 2.52higher on the final exam.O As x goes up, y goes up.O The slope has no practical meaning since you cannot predict what any individual student wilLscore on the final.i. Interpret the y-intercept in the context of the question:The y-intercept has no practical meaning for this study.The best prediction for a student who doesn't study at all is that the student will score 64 onthe final exam.O If a student does not study at all, then that student will score 64 on the final exam.O The average final exam score is predicted to be 64.acer

Time 7 16 11 2 9. 7 4 10 Score 86 58 100 100 67 75 89 78 85 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? v H1:? v = 0 %3D The p-value is: (Round to four decimal places) c. Use a level of significance of a = of the study. 0.05 to state the conclusion of the hypothesis test in the context There ir staticticallu cianifigant ouis

Time 7 16 11 2 9. 7 4 10 Score 86 58 100 100 67 75 89 78 85 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? v H1:? v = 0 %3D The p-value is: (Round to four decimal places) c. Use a level of significance of a = of the study. 0.05 to state the conclusion of the hypothesis test in the context There ir staticticallu cianifigant ouis

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below. Seeds Produced 48 48 42 51 56 43 53 Sprout Percent 59 68 60 55.5 49 64.5 48.5 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: pv H1: pv = 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically significant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds. O There is statistically insignificant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the use of the regression line is not appropriate. O There is statistically…