Assume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40 randomly selected men. The linear correlation coefficient r is 0.587. Find the value of the coefficient of determination What practical information does the coefficient of determination provide? Choose the correct answer below. O A. The coefficient of determination is 0.655. 65.5% of the variation is explained by the linear correlation, and 34.5% is explained by other factors. O B. The coefficient of determination is 0.345. 65.5% of the variation is explained by the linear correlation, and 34.5% is explained by other factors. OC. The coefficient of determination is 0.655. 34.5% of the variation is explained by the linear correlation, and 65.5% is explained by other factors. O D. The coefficient of determination is 0.345. 34.5% of the variation is explained by the linear correlation, and 65.5% is explained by other factors.

Assume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40 randomly selected men. The linear correlation coefficient r is 0.587. Find the value of the coefficient of determination What practical information does the coefficient of determination provide? Choose the correct answer below. O A. The coefficient of determination is 0.655. 65.5% of the variation is explained by the linear correlation, and 34.5% is explained by other factors. O B. The coefficient of determination is 0.345. 65.5% of the variation is explained by the linear correlation, and 34.5% is explained by other factors. OC. The coefficient of determination is 0.655. 34.5% of the variation is explained by the linear correlation, and 65.5% is explained by other factors. O D. The coefficient of determination is 0.345. 34.5% of the variation is explained by the linear correlation, and 65.5% is explained by other factors.

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

Related questions

Q: What is the predicted number of tickets sold per hour if the temperature is 79°F? Round to the…

A: The following linear regression model can be used to predict ticket sales at a popular water…

Q: Jewel wanted to know if there was a correlation between the weight of a dog and its age. She…

A: Correlation: Correlation a measure which indicates the “go-togetherness” of two data sets. It can be…

Q: The correlation coefficient is used to determine A. A specific value of the dependent variable given…

A: Correlation: The relation ship (or) an associationbetween two or more variables is known as…

Q: (Round to two decimal places) d. e. Interpret r: O There is a 67% chance that the regression line…

A: We have used the excel data analysis tool to run the regression analysis.

Q: The accompanying data gives the high and low temperatures in January for a random sample of 50…

A: The Pearson's correlation coefficient(r) formula is given by,

Q: students is provided: 田 Attendance % Overall Grade % 50 38.86 75 53.41 84 62.3 75 68.18 82 75.55 84…

Q: Assume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40…

A: Solution

Q: the correct answer below. The term linear refers to the straight line that passes through the…

Q: Match the correlation coefficients with their scatterplots. Select the letter of the scatterplot…

Q: Match the linear correlation coefficient to the scatter diagram. r= -0.546 Choose the correct graph…

A: Linear correlation coefficient to the scatter diagram is given. r = -0.546

Q: Blood pressure measurements consist of two numbers, the systolic pressure and the diastolic…

A: The data is given by: Systolic (x) Diastolic(y) 134 63 115 83 113 77 123 77 119 69…

Q: Construct a scatter plot for the following data set. Solve for the correlation coefficient, r. Show…

A: Step 1: State the given table: In order to solve for the correlation coefficient, r, we need to…

Q: A grocery store manager did a study to look at the relationship between the amount of time (in…

Q: A researcher would like to determine whether social media use is related to self-esteem. He collects…

A: Given that the researcher want to check the relationship between two variables; social media (X) and…

Q: You wish to determine if there is a positive linear correlation between the age of a driver and the…

A: Data is given for Driver age and corresponding number of drivers death . N=7 df = N-1 = 6 We have…

Q: Use the data values in the table below to calculate the correlation between the variables x and y.

A: Correlation is used to find the relationship between any two variables. This correlation may be…

Q: Which value of r indicates a stronger correlation: r=0.834 or r=−0.914?

A: We have given that, r = 0.83 or r=−0.914 We have to explain which value of r indicates a stronger…

Q: Which value of r indicates a stronger correlation: r=0.826 or r= - 0.879? Explain your reasoning.…

Q: 5. Below are four scatter plots. Fill in the space below each scatter plot with one of the following…

A: The scatterplots and correlation coefficients are given.

Q: Choose the best correlation coefficient to describe each plot. Of the six correlation coefficients…

Q: Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet.…

A: Calculate Correlation Coefficient r without cov(x,y) from the following data X Y 3 4.98 4…

Q: For the data below, calculate the correlation coefficient between X and Y. You may use the…

Q: The ages (in years) of 10 men and their systolic blood pressures (in millimeters of mercury) are…

A: Given informationThe ages of 10 men and their systolic pressure are given in table, and their…

Q: For the data below, draw a scatter plot on each graph provided. Then use your graphing calculator to…

A: Strength of relationship between variables using correlation: If the value of correlation is…

Q: Assume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40…

A: Given data: linear correlation coefficient(r)= 0.491 To find: The coefficient of determination

Q: f. The equation of the linear regression line is: x (Please show your answers to two decimal places)…

A: d) As, the given correlation coefficient r= 0.89 The value of r2=0.892 =0.6889 r2 =0.69 Answer:-…

Q: Use the data values in the table below to calculate the correlation between the variables x and y.…

A: Given data is x y 2 13.65 3 10.04 4 11.13 5 6.82 6 5.61 7 5.7

Q: Detween the two vahables 588 ne value of the coefficient of determination? Round to four decimal…

A: We have given that, Correlation coefficient (r) = 0.588 Then, We will find the coefficient of…

Q: Look at the following scatterplot. Choose the number that BEST estimates the correlation. a b 0.10 с…

A: The question is about correlationIntroduction :There are 3 types of correlation 1 ) Positive…

Q: For the scatter plot shown below, which of the following values is closest to it correlation…

A: We need choose the closest value of correlation coefficient.

Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

Assume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40 randomly selected men. The linear correlation coefficient r is 0.587. Find the value of the coefficient of determination.
What practical information does the coefficient of determination provide?
Choose the correct answer below.
O A. The coefficient of determination is 0.655. 65.5% of the variation is explained by the linear correlation, and 34.5% is explained by other factors.
O B. The coefficient of determination is 0.345. 65.5% of the variation is explained by the linear correlation, and 34.5% is explained by other factors.
O C. The coefficient of determination is 0.655. 34.5% of the variation is explained by the linear correlation, and 65.5% is explained by other factors.
O D. The coefficient of determination is 0.345. 34.5% of the variation is explained by the linear correlation, and 65.5% is explained by other factors.
Click to select your answer.
3:54 PM
e Type here to search
4/16/2021
12
16
ho
num Ik
esc
12
deleto
11)
prt scr
insert
8
9.
%23
%24
&
backspace
teme
3
4
9.
4
5.
tab 1
T
U
lock
F
J
K
3
enter
P
00
DI

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Correlation, Regression, and Association$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions

If the coefficient of correlation is -0.60, then the coefficient of determination is: a. -0.60 b. -0.36 0.36 0.40 C. d.
A researcher is interested in whether the variation in the size of human beings is proportional throughout each part of the human. To partly answer this question they looked at the correlation between the foot length (in millimeters) and height (in centimeters) of 30 randomly selected adult males. The data is provided below. Use Excel to calculate the correlation coefficient r between the two data sets. Round your answer to two decimal places. Foot length (mm) Height length (cm) 269.1 188.6 245.7 177.5 272.7 166.9 271.8 155.1 273.9 144.3 274.7 133.8 255.7 122.6 276.5 157.4 279.6 145.9 280.1 135.6 281.9 123.5 HelpCopy to ClipboardDownload CSV
A researcher measured the following correlation: r=.21. What is the value of the coefficient of determination? A. -0.42 B. .04 C. .42 D. -.04
What is the coefficient of determination for two variables that have perfect positive linear correlation or perfect negative linear correlation? Interpret your answer. Choose the correct answer below. O A. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or 0, respectively. This means 100% of the variation in the response variable is explained by the variation in the explanatory variable. O B. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respectively. In either case the coefficient of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the explanatory variable. O C. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respectively. In either case the coefficient of determination is 1, which means 0% of the…
Please explain
The cost of a leading liquid laundry detergent in different sizes is given below Size (ounces) Cost ($) 16 3.99 32 4.99 64 5.99 200 10.99 A. Write a brief description of the association.B. What is the strength of the relationship between the size of the laundry detergent and the cost? Use the correlation coefficient in your explanation.C. State the model for the size of the laundry detergent and the cost.D. Interpret the slope of your model in context.E. Interpret the intercept of your model in context. F. In the context of the problem is it better to have a positive or negative residual. Explain. G. Use the linear model to predict the cost of 300 ounces of laundry detergent.
For a set of correlated data, you calculate that the correlation coefficient (r) is -0.87. What percent of the variation in the dependent variable is explained by variation in the independent variable? D2L requires decimal format. Convert your percentage to a decimal rounded to the third place. i.e. 51.2218% = 0.512.
For the data in the table, find the following values. Round each answer to 4 decimals. y 1 10 17 22 10 24 12 31 14 34 17 39 a. The linear correlation coefficient is: b. The coefficient of determination is: 1237 890 NZ
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.
Which value of r indicates a stronger correlation: r=0.797 or r= -0.922? Explain your reasoning. Choose the correct answer below. C ⒸA. r= -0.922 represents a stronger correlation because | -0.922|>10.7971. OB. r= -0.922 represents a stronger correlation because 0.797> -0.922. OC. r=0.797 represents a stronger correlation because 0.797 > -0.922. OD. r=0.797 represents a stronger correlation because | -0.922|>10.7971.
Which value of r indicates a stronger correlation: r= 0.841 or r= - 0.949? Explain your reasoning. Choose the correct answer below. O A. r= 0.841 represents a stronger correlation because -0.949 > 0.841|. B. r= - 0.949 represents a stronger correlation because -0.949|> |0.841|. C. r= - 0.949 represents a stronger correlation because 0.841 > - 0.949. D. r= 0.841 represents a stronger correlation because 0.841 > - 0.949.
Assume the correlation coefficient between advertising dollars spent and sales is .78. How much of the variability in sales is explained by the relationship between sales and advertising dollars? a. 39.16% b. 60.84% c. 78% d. 22%