10.1.11.92.44.14.68.18.39.19.8y1025412614392,04118,271 22,130 | 56,151| 119,550Is there a correlation?If yes, what function family?What is the equation that describes this data?If linear, what is the correlation coefficient?What does this mean?What is the coefficient of determination?Is this equation a good one to use forpredictions? Why?

Given data: x y 1.1 10 1.9 25 2.4 41 4.1 261 4.6 439 6 2041 8.1 18271 8.3 22130…

Answered: 10. 1.1 1.9 2.4 4.1 4.6 6. 8.1 8.3 9.1…

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

Topic: Correlation and Regression
An aerobic exercise instructor remembers the data given in the following table, which shows the recommended maximum exercise heart rates for individuals of the given ages. (A graphing calculator is recommended.) Age (x years) 20 40 60 Maximum heart rate(y beats per minute) 166 150 134 (a) Find the linear correlation coefficient for the data. (Round your answer to two decimal places.)(b) What is the significance of the value found in part (a)? The graph of the regression points passes through all three data points.One of the data points is the y-intercept. The linear correlation coefficient should always be positive.The graph of the regression points passes through none of the data points.The slope of the regression is about half of what the expected value is. (c) Find the equation of the least-squares regression line. (Round your answers to two decimal places.)ŷ = (d) Use the equation of the least-squares line from part (c) to predict the maximum…
1. Find the correlation coefficient 2. Find the p-value
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
X Y 14 25 26 28 19 27 13 21 28 31 23 24 30 31 26 27 19 29 Mean. 22 27 Std. Dev 6.08 3.28 Correlation 0.76 What is the tcritical value using the direct difference approach?
It is believed that standardized test scores, such as SAT, is a good predictor of first-year college students' GPA. 750 1200 3.2 1120 1000 1420 1280 1100 2.5 2.7 3.5 2.9 2.2 2.3 1. Find the p-value to determine if there is a linear correlation between SAT scores and GPA. Record the p- value below. Round to four decimal places. p-value = 2. Is there a linear correlation between SAT scores and GPA? 3. If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. T= 4. If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places. 5. Using the data shown above, predict a student's first-year GPA when the student scores a 1275 on the SAT. Round your final answer to two decimal places. 6. If there is a linear correlation, what percentage of variation in GPAS can be explained by students' SAT scores? If there is not a linear…
SPSS: Correlation Use SPSS to calculate the appropriate correlation coefficient for the following data for “Hours of Exercise” and “Life Satisfaction.” (0 = Not at all satisfied). Provide an APA-style results section write – up. (b) Graph the relationship. Complete the write-up on a word document and upload the file for submission. Hours of Exercise Life Satisfaction 2 6 0 2 5 13 6 15 1 3 2 6 4 10 4 12 3 8 4 10 APA Template for reporting a Pearson’s Correlation Coefficient You will want to include four main points about your Pearson’s r when communicating results to others. Test type and use You want to tell your reader what type of analysis you conducted. You also want to tell your reader why this particular analysis was used. What did your analysis test for?
Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________
1. The chart of data represents the heart rate (beats per mimute) of a jogger over time (minutes). Time (Min) 1 3 4 6. 7. 8. BPM 81 84 86 91 97 102 108 112 la. Write the cquation of the Line of Best Fit Your answer 1b. What is the correlation coefficient? Your answer
3. .... 2. 5. 4. 3. 2. 参 dollars per year) Salary (thousands of Acreage dollars per year) Salary (thousands of square feet for the same houses, what would the correlation be? for some houses is 0.91. If you found the correlation between house price in thousands of dollars and area in 4.24 House Price The correlation between house price (in dollars) and area of the house (in square feet) Education (years) 2. 4. 0. 12 1. 8. 20. 60- Start Year 1985 40 2005 1995 2010 09 li. 06 (B) Full Bath 4. 1. 7. 6. 5. : (A) 0.777 0.374
Do all Please calculate: Parameters a and b Correlation coefficient Determination coefficient Write correlation equation Visualise data in Scatter chart Provide explanation of results Year Sales, MEUR (Yi) Employees with higher education (Xi) 2010 70 10 2011 90 12 2012 100 15 2013 80 13 2014 110 17 2015 120 20 2016 150 25 2017 200 25 2018 200 25
Answer

SEE MORE QUESTIONS

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