段階的に解決し、人工知能を使用せず、優れた仕事を行いますご支援ありがとうございましたSOLVE STEP BY STEP IN DIGITAL FORMATDON'T USE CHATGPT | DON'T USE CHATGPT | DON'T USE CHATGPTCorrelationInstructions: Use the following data to answer the questions. Let's say you are a criminologystudent and you have collected data on the number of police officers on duty and the crimerate in different cities. You want to determine if there is a correlation between the number ofpolice officers on duty and the crime rate.Police officers on duty (n)CityABCDEE150180130160200Crime Rate (per 1,000 inhabitants)25.522.327.820.118.5Questions:1. Calculate the Pearson correlation coefficient (r) between the number of police officers onduty and the crime rate. Shows all calculations.2. Interpret the value of r obtained in question 1 in terms of the strength and direction ofthe correlation.3. Explain your conclusion.

The total number of observations is The data on the number of police officers on duty and the crime…

Answered: Correlation Instructions: Use the…

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

Which one of the following is an example of a qualitative variable? a. The number of teachers working in UTAS-Nizwa b. The number of pages in a notebook c. The profit earned by a company in month d. The ambience of a 5 star hotel
choose the correct answer Given r = 0.945, the correlation scale indicates that _______ a. there is no correlation between the two variables.b. the correlation between the two variables is average.c. the correlation between the two variables is very high.d. the correlation between the two variables is very low.
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…
Please answer the question clearly and draw the histogram
Statistics Question
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.
please don't provide hand writtin solution...
Estimate the most likely degree of correlation for the scatterplot Options: a. 0 b. .85 c. -.90 d. -.05
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 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O 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. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
ASK YOUR TEACHER The superintendent of a school district wants to determine if there is a statistically significant correlation between expenditures and test scores. She finds the top 10 Sonoma County school districts, ranked by spending, and the test scores shown in the table. Top 10 Sonoma County School Districts by Spending f dollars District Expenditure Test Score (API) Horicon $20,136 676 Fort Ross 17,123 767 Montgomery 16,539 844 Monte Fio 14,280 872 Kenwood 13,248 871 Geyserville 12,499 776 Alexander Valley 11,640 894 Harmony 11,353 863 Two Rock 10,406 866 Roseland 10,059 779 What is the correlation between the expenditure (x) and the test score (y)? (Round your answer to four decimal places.) r = Is this correlation significant at either the 5% or the 1% significance level? Yes, there is a correlation. It is significant at the 1% level. Yes, there is a correlation. It is significant at the 5% level. O No, there is no significant correlation. Need Help? Reid it Additional…
State each case whether you would expect a positive correlation, a negative, or no correlation. 1) The number of campaign materials used by a senatorial candidate and the number of votes earned.
Given the scatter plot below, which of the following describes the strength and direction of the data? 10 Weak negative correlation Strong negative correlation Strong positive correlation Weak positive correlation

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS