* 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 Sprout Percent 45.5 65 53 62 48 44 65.5 51 58 66 42 64 62 56 Round to 2 decimal places. Find the correlation coefficient: r = The null and alternative hypotheses for correlation are: Ho: ? = 0 H₁: ? 0 The p-value is: (Round to four decimal places) 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 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. 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…
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A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 1 Sick Days 6 15 0 8 0 8 14 13 2 0 = c. Use a level of significance of a the study. 10 0 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho: ? = 0 H₁: ? Ⓒ 0 The p-value is: 11 + = 0 Round to 4 decimal places. 15 3 0 9 Round to 3 decimal places. There is statistically insignificant evidence to conclude that there is a correlation between the number of vacation days taken and the number of sick days taken. Thus, the use of the regression line is not appropriate. 0.05 to state the conclusion of the hypothesis test in the context of There is statistically significant evidence to conclude that there is a correlation between the number of vacation days taken and the number of sick days taken. Thus, the regression line is useful. There…
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 68 56 61 Sprout Percent 60.6 69.2 = 0 48 64.7 64.6 #0 a. Find the correlation coefficient: b. The null and alternative hypotheses for correlation are: H₂: ? H₁: 2 The p-value is: 63 64.1 40 Round to 2 decimal places. 63 62 65.1 68.4 84 (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 there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful. O There is statistically insignificant 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 significant…
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 11 5 Score 82 68 70 63 62 54 78 69 x-values y-values a. Find the correlation coefficient: r = b. The null and altemative hypotheses for correlation arer Ho: ?v H: ?v to Round to 2 decimal places. = 0 The p-value is: (Round to fsur decimal places) d. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. Select an answer p² = (Round to two decimal places) f. Interpret 2 : Select an answer g. e. The equation of the linear regression line is: = (Please show your answers to two decimal places) h. Use the model to predict the final exam score for a student who spends 7 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) i. Interpret the slope of the regression line in the context of the question: Select an answer j.…
The following zero order correlation coefficients are given : r12 = 0.5 r13 = 0.6 r23 =.7 %3D Calculate the multiple correlation coefficients R1,23, R2.13 and R3.12
A study was done to look at the relationship between number of partners college students have had in their lifetimes and their GPAs. The results of the survey are shown below. Partners 7 8 6 1 6 6 4 GPA 1.4 1.5 1.4 3 2.3 1.5 2.9 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? r ρ μ Incorrect == 0 Ha:Ha: ? r ρ μ Incorrect ≠≠ 0 Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. You may want to reference the 95% Critical Values of the Sample Correlation Coefficient. There is statistically insignificant evidence to conclude that there is a correlation between the number of partners students have had in their lifetimes and their GPA. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to conclude that a student who has had more partners will have a lower GPA than a…
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 21 4 16 5 29 17 7 28 8 21 Ho: p = 0 Ha: p +0 Find the Linear Correlation Coefficient r= Find the p-value p-value = The p-value is Less than (or equal to) a OGreater than a The p-value leads to a decision to Do Not Reject Ho OReject Ho OAccept Ho
p20 need help with parts b and d please 0.0498 0.67 wrong
Data collected from a sample of 8 students relating study time (x in hours per week) and leisure time (y in hours per week) yielded the information shown below. What is the value of the sample correlation coefficient? Enter your answer accurate to TWO (2) decimal places. X= 59.37 Y = 4.25 SS= 1843.87 SS, = -49.75 SS, = 7.5
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