na080825. Calculate the coefficient of correlation using the method of concurrent deviationbětween supply and demand of an item for a period of 10 years as given below :2012Year2010201120132014201520162017Supply125160164174155175Demand115125192190165174124127152169

Answered: Image /qna-images/answer/bb52f2bd-5de4-40d3-995b-7bd3c025cb4f.jpg

Answered: 08 25. Calculate the coefficient of…

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

The following sample contains values of the price and quantity sold of a particular commodity. Use quantity sold as the dependent variable Y. Price (X) 6.00 3.00 7.00 1.00 2.00 8.00 Quantity sold (Y) 53 67 48 76 70 28 ∑x}=27, ∑y=342, ∑x2=163, ∑xy=1295, ∑y2 = 21062, n=6. d. Find the coefficient of determination and interpret .
The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use α=0.01. Weight, x 5920 5370 6500 5100 5890 4800 Variability in 1.76 1.91 1.50 braking distance, y EEE Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Ho: P Ha: P 0 0 1.86 1.62 1.67 M
In the area of Russia récords were kept on the relationship between the rain Fall in inches and the yield of wheat (bushels per acre ).the data for a 9 year period is as follow. Rain fall x 13.1,11.4,16.0,15.1,21.4,12.9,9.6,18.2,18.6. yield y : 48.5,44.2,56.8,80.4,47.2,29.9,74.0,74.0,76.8 the equation of the line of least squares is given as ^y= -9.12+4.38x. How many bushels of wheat peen acre can be predicted if it’s is expected that there will be 30 inches of rain?
2. State whether the variables described have a positive correlation, a negative correlation, or no correlation. (a) Income and SAT scores (b) Length of a person's hair and how far they sit from the screen in a movie theater. (c) Hours of exercise per week and blood pressure.
A regression analysis was performed to predict weight (y, in kg) using height (x, in cm) among 150 children. The coefficient of determination was . Which of the following is a valid interpretation? a. For each 1-cm increase in height, weight tends to increase by about 0.32 kg b. There is no association between weight and height c. Height accounts for about 32% of the total variability in weight d. The correlation between weight and height is about 0.32
8. Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. a) The average selling price of a model of car and the cost of a loaf of bread on a given day b) The number of crimes committed in an area and the selling price of homes in that area c) The number of pets owned by a family and the cost of their vet bills
Which data has. A stronger linear correlation? Data 1 with an r= 0.7 or data 2 with an r= -0.8? Why?
Data was collected on the number of pairs of shoes people own and the number of miles they walk per week. 2 = 0.38 . Then 38% of the variation in miles walked can be explained by the linear relationship between the in the number of shoes owned and the miles walked. 62% is attributable to other factors. false true
Find the best-fit line for Year Close Price, y, at x years since 2005; Calculate the value of the Correlation Coefficient for Year Close Price, y, at x years since 2005; and Use your best-fit line to predict the Year Close Price of the S&P 500 in 2021. Year Year Open ($) Year Close ($) Annual Percent Change 2005 1202.08 1248.29 3.844170105 2006 1268.08 1418.3 11.84625576 2007 1416.6 1468.36 3.653819003 2008 1447.16 903.25 -37.58464855 2009 931.8 1115.1 19.67160335 2010 1132.99 1257.64 11.00186233 2011 1271.87 1257.6 -1.121970013 2012 1277.06 1426.19 11.67760324 2013 1462.42 1848.36 26.39050341 2014 1831.98 2058.9 12.38659811 2015 2058.2 2043.94 -0.692838402 2016 2012.66 2238.83 11.23736746 2017 2257.83 2673.61 18.41502682 2018 2695.81 2506.85 -7.009396063 2019 2510.03 3230.78 28.71479624 2020 3257.85 3756.07 15.2929079
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
A negative correlation means that decreases in the X variable tend to be accompanied by decreases in the Y variable. T or F

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