Recently a community college offered a 2-credit course to help students with math anxiety. At thebeginning of the course, each student took a 30-question survey (called MARS-S); the higher the score, themore anxiety experienced by the student. The nine students remaining in the class took the same survey atthe end of the course. The before and after scores for each of the nine students who completed the courseare shown below.studentbeforeafter1726926652837149785956178459556852439.9362Compute the correlation between before and after scores for these students. (Assume the correlationconditions have been satisfied and round your answer to 3 decimal places.)r =67

Given, Student Before (X) After (Y) 1 72 69 2 66 52 3 83 71 4 97 85 5 95 61 6 78 45…

Answered: Compute the correlation between before…

Compute the correlation between before and after scores for these students. (Assume the correlation conditions have been satisfied and round your answer to 3 decimal places.) r =

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: Please round all answers to 2 decimal places. Given the table below, use your calculator to find…

A: The total number of pairs of observations is n = 6.

Q: Given the table below, use your calculator to find the Correlation Coefficient x 8.7 9.5 3.6 3.9…

A: From the given information, Thus, correlation coefficient can be computed as:

Q: Please round all answers to 2 decimal places. Given the table below, use your calculator to find…

A: We have given that x 7.3 7.8 9.7 4.1 5.9 5 y 20.6 25.3 27.4 16 15.3 14

Q: Please round all answers to 2 decimal places. Given the table below, use your calculator to find…

Q: A correlation of r = 0.64 is stronger than which of the following correlations? r = –85 r = –71 r…

A: A correlation of r = 0.64 is stronger than which of the following r = –85 r = –7 r = 0.5 r = –6 All…

Q: A regression was run to determine if there is a relationship between hours of study per week (2) and…

A: Using the given information, The regression line is, The objective is to predict the final…

Q: The correlation between the depth (in feet) and length (in feet) for a sample of caves is found to…

Q: Please round all answers to 2 decimal places. Given the table below, use your calculator to find the…

A: Given data, X Y X*Y X*X Y*Y 2.9 13.3 38.57 8.41 176.89 5.3 16.6 87.98 28.09 275.56 1.3…

Q: Bryan is new to statistics and sutters from math anuety. During his exam he is asked to create a…

A: 1. where:2. 3.

Q: Imagine that a professor of psychology has two teaching assistants (TAS) who will help him grade…

A: The data for the z-scores of a population of 10 students for a professor and two training assistants…

Q: Use the value of the linear correlation coefficient to calculate the coefficient of determination.…

A: Given r=0.324

Q: Use the value of the linear correlation coefficient r to find the coefficient of determination and…

A: Given : Correlation coefficient = r = 0.305

Q: Dr. Bad Bunny has calculated a correlation between the number of cigarettes smoked per week and the…

A: The strength and direction of linear relationship between two variables is measured by correlation.

Q: When you solve and get an r value for the correlation coefficient, what information is revealed by…

A: We know that Correlation measures tye association between the two variables. If two variables move…

Q: R'is the square of the correlation, so both measure the direction of the relationship between two…

A: R-Squared is square of correlation r but they measures different things.

Q: In an introductory stats course x = midterm score and y = final exam score. The midterm score had a…

A: Let X = midterm score Let Y = final exam score The given summary quantiles are,

Q: Use the regression equation to predict the value of y for x = -3.8. Assume that the variables x and…

A: The independent variable is x and the dependent variable is y.The variables x and y have a…

Q: Use the value of the linear correlation coefficient to calculate the coefficient of determination.…

A: The given value of linear correlation coefficient is, r = -0.156. The formula for calculating the…

Q: Explain what it means when a correlation between the variables X and Y have anr2of 0.72.

A: The value of R2 is 0.72.

Q: Please round all answers to 2 decimal places. Given the table below, use your calculator to find…

A: Solution: The correlation coefficient can be calculated by using the following formula:

Q: Please help me with the following question, explain and make sure everything is correct 10000% thank…

A: Step 1:Given thatX:3,4,6,2,10Y:1,2,3,4,10Mean of X is:Xˉ=MX=53+4+6+2+10=5 Mean of Y is:…

Q: Use the value of the linear correlation coefficient r to find the coefficient of determination and…

A: r2 is coefficient of determination , it defines the percentage of variation that explained by…

Q: You generate a scatter plot using Excel. You then have Excel plot the trend line and report the…

A: Given: Regression equation: y=−99.94x+68.43r2=0.2401r=?

Q: Suppose men always married women who were exactly 3 years younger. What would the correlation…

A: The correlation is the relation between two variables. If the value of the correlation coefficient…

Q: Use the value of the linear correlation coefficient of determination. What does this tell you about…

A: We have to findcoefficient of determination.

Q: A study of new cars finds that the correlation between the weight of cars (pounds) and their city…

Q: Suppose you are given the following five pairs of scores: X 6 9 6 8 1 Y 2 3 4 6 10 Create a scatter…

A: x y 6 2 9 3 6 4 8 6 1 10 positive correlation : it is an association between variables.…

Q: Foot temperatures: Foot ulcers are a common problem for people with diabetes. Higher skin…

A: X Y X \cdot YX⋅Y X^2X2 Y^2Y2 80 81 6480 6400 6561 88 89 7832 7744 7921 80 80 6400 6400…

Q: sample of a 100 plants were taken and the height and weight was recorded. The correlation between…

A: A sample of a 100 plants were taken and the height and weight was recorded. The correlation between…

Q: The manager of a DVD rental store analyzed the number of DVD rentals (y) to the number of weeks the…

A: Correlation: Correlation says about if two variables are related to each other or there exists no…

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: A statistician finds a Pearson correlation of r = 0.29. What does this correlation tell us about the…

A: We have given Pearson correlation of r = 0.29

Q: Annual high temperatures in a certain location have been tracked for several years. Let X represent…

A: We are given with the following data in the question: X Y 5 20.25 6 19.88 7 24.21 8…

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

100%

Recently a community college offered a 2-credit course to help students with math anxiety. At the
beginning of the course, each student took a 30-question survey (called MARS-S); the higher the score, the
more anxiety experienced by the student. The nine students remaining in the class took the same survey at
the end of the course. The before and after scores for each of the nine students who completed the course
are shown below.
student
before
after
1
72
69
2
66
52
83
71
4
97
85
95
61
78
45
95
56
8
52
43
9.
93
62
Compute the correlation between before and after scores for these students. (Assume the correlation
conditions have been satisfied and round your answer to 3 decimal places.)
r =
67

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

Please round all answers to 2 decimal places.Given the table below, use your calculator to find the Correlation Coefficient xx 4.4 1 9.2 8.3 7.5 5.9 yy 13 8.7 21.6 24.7 20.6 18.3 Put your answer here:
A set of n = 28 pairs of scores (X and Y values) has SSx = 70, SSY = 50, and SP = 21. Calculate the Pearson correlation for the scores. If your calculations involve multiple steps, wait until your final answer to round. Enter your final answer as a number rounded to 2 decimal places. If the number is negative, remember to include the negative sign.
I'm not able to figure out the significant linear correlation between the data
The correlation between brain weight and body weight is r = 0.86. If brain weight had been measured in kilograms rather than grams, the correlation would have a value of ______ . (Give your answer to 2 decimal places.)
Use the regression equation to predict the value of y for x = - X y -5 - 3 4 11 6 - 6 A. 7.921 B. - 0.995 C. -4.765 O D. -6.405 1 - 1 - 1 3 - 2 0 4 1 2 - 4 3 -5 -3.8. Assume that the variables x and y have a significant correlation. - 4 8
Please round all answers to 2 decimal places.Given the table below, use your calculator to find the Correlation Coefficient � 7.8 2.6 2.1 3.5 5.9 7.1 � 24.6 14.7 4.2 7.8 19.1 17.2
If you have a correlation (r=.90), the coefficient of determination would be:
I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
A scatterplot is made of the average height (x axis) and average blood temperature (y axis) of 200 different mammals. The correlation is medially positive, approximately around r = 0.6. Human is at the 2 SD below the average on height and approximately 1.2 SD below the average on blood temperature. This implies this point is... Group of answer choices No answer text provided. on the SD line it is impossible to say with the information given on the regression line
Please round all answers to 2 decimal places. Given the table below, use your calculator to find the Correlation Coefficient x3.44.69.3105.34.9y15.511.220.222.710.814.3 Put your answer here:
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r = -0.338 Calculate the coefficient of determination. (Round to three decimal places as needed.) % of the variation can be explained by the regression line (Round to one decimal place as needed.) % of the variation is unexplained and is due to other factors or to sampling error. (Round to one decimal place as needed.)
How does multiplying each score by a (positive) constant affect the value of the correlation? The correlation changes sign. The correlation does not change. The correlation decreases. The correlation increases.