Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is su evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. If everyone were to tip with the same percentage, what should be the value of r? | 31.80 52.94 85.82 102.16 60.17 15.82 Bill (dollars) 111.77 O Tip (dollars) 5.46 6.07 15.40 11.15 20.32 Construct a scatterplot. Choose the correct graph below. O A. OB. Oc. OD. 25-

Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is su evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. If everyone were to tip with the same percentage, what should be the value of r? | 31.80 52.94 85.82 102.16 60.17 15.82 Bill (dollars) 111.77 O Tip (dollars) 5.46 6.07 15.40 11.15 20.32 Construct a scatterplot. Choose the correct graph below. O A. OB. Oc. OD. 25-

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A drug company claims that an allergy medication causes headaches in 5% of those who take it. A medical researcher believes that more than 5% of those who take the drug actually get headaches.
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 22 39 21 38 18 23 22 79 36 42 22 65 29 Ho: p = 0 Ha: p= 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to O Reject Ho O Accept Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
Statistics Question
3. What is the value that corresponds to the 60th percentile in the following data set? Use linear interpolation. 80 68 53 58 76 O A. 79 O B. 79.6 O C. 80 O D. 80.6 73 85 88 91 79
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 55 20 38 21 80 32 35 20 54 29 80 31 74 79 60 18 Ho: p = 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Greater than o Less than (or equal to) a The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between…
Answer clearly
Based on the given scatter diagram, choose the correct statement. a. It is a positive correlation. The more time an individual spends running, the higher their body fat tends to be. b. It is a positive correlation. The more time an individual spends running, the lower their body fat tends to be. c. It is a negative correlation. The more time an individual spends running, the higher their body fat tends to be. d. It is a no correlation. The amount of time an individual spends running has no correlation with his/her body fat tends to be. e. It is a negative correlation. The more time an individual spends running, the lower their body fat tends to be.
Which of the following is not a measure of central tendency?A. the medianB. the modeC. the meanD. the rangeE. all of the above show measure of central tendency
For the data represented by the Stem and Leaf diagram shown below, the Mean is equal to 68.275. The Median is 67.5, :(answer (True) or (False Stems 3 4 5 6 7 8 9 Leaves 689 7 01 02 135 5 6 7 3 4 4 5 6 7 X 9 5 8 9 679 0 0 0 1 0 1 3 5 5 899 False O True O
Many people believe that crime rate declines with age. a) Use the data below to verify whether this is true using a scatterplot. b) Is the relationship between crime rate and age strong, medium, or weak? c) Can the correlation coefficient be used to measure the extent to which crime rate is related to age? E Click the icon to view the data. a) Choose the correct scatterplot below. O A. O B. OC. OD. 20,000- 20,000- 20,000- 20,000- 0- Age Age Age Age Does it appear that the crime rate declines with age? O A. The crime rate tends to gradually increase with age. B. The crime rate tends to increase until adulthood, after which it gradually declines. OC. The crime rate tends to increase until middle age, after which it gradually declines. O D. The crime rate tends to gradually decrease with age. b) Is the relationship between crime rate and age strong, medium, or weak? O A. The scatterplot appears to show a medium relationship. B. The scatterplot appears to show a weak relationship. O C. The…
what is the value of r?
please don't provide hand writtin solution...