1031.52.7512Hours Studied (x)Test Score (y)0.581 80787590899785On the basis of the value of the linear correlation coefficient, can you conclude that the datacan be reasonably modeled by a linear equation at 0.05 level of significance?O cannot be determinedO maybeO yesO no

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Answered: 1 0 3 1.5 2.75 Hours Studied (x) Test…

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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Measles and Mumps A researcher wishes to see if there is a relationship between the number of reported cases of measles and mumps for a recent 5 - year period . Is there a linear relationship between the two variables ? Measles cases (x) 49 130 61 54 220 Mumps cases (y) 817 454 2002 2552 388
Caffeine (mg) Sleep (hours) 60 8 0 8 220 5.5 100 7 80 6.5 For caffeine intake, the mean is 92 and the standard deviation is 80.75. For sleep, the mean is 7 and the standard deviation is 1.06. Calculate the linear correlation coefficient r by hand for this set of paired data values using r=(z_x-z_y)/(n-1). Show your work. Is the value of r statistically significant? Use Pearson's r table to justify your answer. Does the value for r and the statistical significance indicate a positive linear correlation, a negative linear correlation, or no linear correlation between the variables caffeine intake and hours of sleep? What does this mean in context?
Cost and Customer Satisfaction A researcher is interested whether there is a linear correlation between cost (in dollars) of internet service per month and customer satisfaction on a scale of 1 - 10 (with a 1 being extremely dissatisfied and 10 extremely satisfied). The researcher only includes internet service with similar download speed. The sample he collected is below. Cost (x) 20 18 15 11 9 11 15 19 18 30 Satisfaction (y) 6 8 10 4 9 6 13 5 2 10 Find the best predicted value for the level of Customer Satisfaction given that the Cost is 13. Use a significance level of 0.05. Round your answer to 1 decimal place, if needed.
A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 14 30 11 29 25 6 26 Money 62 97 39 118 76 18 83 Find the correlation coefficient: r = ________ (Round to 2 decimal places) The p-value is: ________ (Round to 4 decimal places)
Data for fuel economy ratings in mi/gal for different cars are listed below. Each pair of data represents the rating using the Old test and the New test. Old 30 22 23 31 27 21 20 19 28 16 New 25 18 25 26 23 18 17 16 31 19 Based on the previous values you found, what can you conclude regarding the linear correlation between the Old and New test method? Since the absolute value of r is ____________ the positive critical value, there _____________ between the Old and New test method for fuel economy rating.
I need this as soon as possible please
Average Age and Length of Service The data show the average ages and lengths of service in months. Age 24.8 25.4 26.3 26.7 27.1 Time 66.3 71 72.5 88.2 80.2 Send data to Excel The correlation coefficient for the data is r = 0.824 and a= 0.05. should regression analysis be done? The regression analysis should not be done. • The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y'= a+bx a = -120.306 b = 7.519 If a service person is 26.7 years old, predict the time that the person will serve. Round the answer to at least one decimal place. The service person will serve 80.45 months.
Can you please figure out critical values are r=
47
Measles and Mumps The data show the number of cases of measles and mumps for a recent -year period. + Measles Cases 48 145 64 57 217 Mumps Cases S07 432 1957 2553 379 Send data to Excel The correlation coefficient for the data is 7=-0.688 and a = 0.05. Should regression analysis be done? The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y =a= bx a = Given a year with 171 cases of measles, predict the expected number of cases of mumps for that year. Round your answer to at least one decimal place. The number of cases of mumps for that year is
Using technology, what is the correlation coefficient? The weight (in pounds) and height (in inches) for a child were measured every few months over a two-year period. The results are given in the table. O -0.997 O -0.503 Weight (x) 8. 12 18 24 30 32 35 37 40 O 0.503 Height (y) 22 23 26 30 32 33 5 36 38 O 0.997
Measles and Mumps The data show the number of cases of measles and mumps for a recent 5-year period. Measles Cases Mumps Cases 47 135 67 57 205 816 437 1972 2567 384 Send data to Excel The correlation coefficient for the data is r=-0.671 and a=0.05. Should regression analysis be done? The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y' = a + bx a b = Given a year with 160 cases of measles, predict the expected number of cases of mumps for that year. Round your answer to at least one decimal place. The number of cases of mumps for that year is X

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1 0 3 1.5 2.75 Hours Studied (x) Test Score (y) 1 0.5 2 81 80 78 75 90 89 97 85 On the basis of the value of the linear correlation coefficient, can you conclude that the data can be reasonably modeled by a linear equation at 0.05 level of significance? O cannot be determined O maybe yes O no