determine whether there appears to be a strong correlation between x and y. b. Find the value of 10- the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (9,9) and find the correlation coefficient r and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient,? 2. a. Do the data points appear to have a strong linear correlation? O No O Yes b. What is the value of the correlation coefficient for all 10 data points? (Simplify your answer. Round to three decimal places as needed.) Is there a linear correlation between x and y? Use a = 0.05. O A. Yes, because the correlation coefficient is not in the critical region. B. No, because the correlation coefficient is in the critical region. C. No, because the correlation coefficient is not in the critical region. Yes boonur

determine whether there appears to be a strong correlation between x and y. b. Find the value of 10- the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (9,9) and find the correlation coefficient r and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient,? 2. a. Do the data points appear to have a strong linear correlation? O No O Yes b. What is the value of the correlation coefficient for all 10 data points? (Simplify your answer. Round to three decimal places as needed.) Is there a linear correlation between x and y? Use a = 0.05. O A. Yes, because the correlation coefficient is not in the critical region. B. No, because the correlation coefficient is in the critical region. C. No, because the correlation coefficient is not in the critical region. Yes boonur

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: Fin the linear correlation coefficient for these data. D. What is the significance of the fact that…

A: (C) Use EXCEL to obtain the value correlation coefficient r: EXCEL procedure: Go to EXCEL Go…

Q: Below are four descriptions of a relationship between two variables. For each description select the…

A: Solution

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: Practice x 2 46 6 7 Ly 48 10 13 20 Create a scatter diagram of this data. Determine the correlation…

Q: Use the given data set to complete parts (a) through (c) below. (Use a= 0.05.) 10 13 9 11 14 6 4…

A: (a) Use EXCEL to construct the scatter plot. EXCEL procedure: Go to EXCEL Go to Insert menu…

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

Q: 1. Find the correlation coefficient using Spearman rho and interpret results. Road width in feet (x)…

Q: Consider the bivariate data set with n 7 observations %3! X 2 -7 -4 -9 3. -3 4 Y 59 106 67 119 11 73…

A: The independent variable is X. The dependent variable is Y. This is simple linear regression model.…

Q: Which of the following statements is the most true regarding the solubility of KCI in water? The…

A: KCl or potassium chloride is soluble in water.As the temperature gets an increase the solubility…

Q: Suppose the correlation between two variables (X,Y) is found to be 0.7. Then you realize a mistake…

A: Correlation coefficient between X and Y is 0.7

Q: 1. The chart of data repreacents the heart rate (beats per mimute) of a jogger over time (minutes).…

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

Q: Match the linear correlation coefficient to the scatter diagram. 1= -0.764 Choose the correct graph…

A: If the values of correlation is between -0.7 and -1 then the relation is negative and strong. The…

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: Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively…

A: "Hello. Since your question has multiple sub-parts, we will solve first three sub-parts for you. If…

Q: 5. Find the coefficient of correlation between x and y from the given data. Also find the two lines…

Q: Two variables have a linear correlation of 0.97. Which of the following is true? a. The variables…

A: Given data Linear Correlation coefficient r = 0.97 We have to identify true properties.

Q: 2. a. What do we mean when the correlation coefficient equals 1 or -1? What would the scatter…

A: a. When the correlation coefficient equals 1, it indicates a perfect positive linear relationship…

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: 2. Calculate Karl Pearsons co-efficient of correlation from the students. n Inches: x = 62 58 65 y =…

A: Given: The values are as follows x y 62 50 58 43 65 51 63 52 56 48 59 51 60 53…

Q: The dependent variable (X) and the independent variable (Z) have a negative relationship when the…

Q: a. U b. - I d. The following are the heights of a father and his eldest son, in inches: Height of…

A: Data given x:71,69,67,68,65,70,60 y:71,69,69,65,60,68,58

Q: Suppose that for a set of (x,y) data, r = 0.36. Find the linear correlation coefficient. Do not…

A: Here the coefficient of determination is given as 0.36, from this value we need to compute the value…

Q: 5. Application a) Create a scatter plot of time spent watching television versus number of books…

A: Answer:5

Q: Which of the following interpretations of correlation is false? 1.Correlation is useful in deciding…

A: Solution Correlation measures the linear relationship between the variables.

Q: 5. Use the data set to answer the following: {(0,2), (2,5), (-8,19)} a. Find the coefficient of…

A: Given data set: {(0,2),(2,5)(-8,19)}

Q: interpretation for the correlation coefficient: Variables being compared are age in years and…

A: It is given that the variables being compared are age in years and annual salary. The correlation…

Q: interpretation for the correlation coefficient: Variables being compared are age in years and…

A: It is given that the variables being compared are age in years and annual salary. The correlation is…

Q: What is Σ(는) () standardized value of x, standardized value of -1 -1

A: It is given that: w can be calculated as: w=4-42 =0

Q: Which value of r, the correlation coefficient, represents data with a strong positive linear…

Q: The linear correlation coefficient r is. (Round to three decimal places as needed.) Do the results…

A: From the given data we find the scattered diagram and correlation coefficient.

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

A: Correlation measures strength of association between variables.

Q: given by the following table: y X-4 -2 2 4 -2 0 0.25 0 0 -1 0 0.25 1 0.25 0|0 2 0.25 Find the…

A: Given: X -4 -2 2 4 total -2 0 0.25 0 0 0.25 Y -1 0 0 0 0.25 0.25 1…

Q: An economist wants to determine whether there is a linear relationship between a country's gross…

A: The question is about correlation Given :

Q: Reler to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively…

A: Given Information: Ten data points are plotted with nine points (8, 1) (8, 2) (8, 3) (9, 1) (9, 2)…

Q: A random sample of college students was surveyed about how they spend their time each week. The…

A: Given : Reg eq. : Predicted hrs spent watching TV = 17.21 - 0.23 ( hrs spent working ) r = -0.63

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

determine whether there appears to be a strong correlation between x and y. b. Find the value of 10-
the correlation coefficient r and determine whether there is a linear correlation. c. Remove the
point with coordinates (9,9) and find the correlation coefficient r and determine whether there is a
linear correlation. d. What do you conclude about the possible effect from a single pair of values?
Click here to view a table of critical values for the correlation coefficient,?
2.
a. Do the data points appear to have a strong linear correlation?
O No
O Yes
b. What is the value of the correlation coefficient for all 10 data points?
(Simplify your answer. Round to three decimal places as needed.)
Is there a linear correlation between x and y? Use a = 0.05.
O A. Yes, because the correlation coefficient is not in the critical region.
B. No, because the correlation coefficient is in the critical region.
C. No, because the correlation coefficient is not in the critical region.
Yes boonur

Expert Solution

This question has been solved!

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

SEE SOLUTION Check out a sample Q&A here

Step 1

Step 2

Step 3

Step 4

Step 5

Step by step

Solved in 5 steps with 2 images

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

Which of the following correlation coefficients indicate the strongest relationship between two variables? A .20 B .87 C .80 D -.95
UnattemptedQuestion 1Expand PreviousNext The data below was collected from manufacturer advertisements of their vehicles' horsepower and highway gas mileage (mpg.). Use this data to answer the following questions. x 158 250 340 350 390 190 220 y 33 28 15 17 11 35 42 1. Find the p-value to determine if there is a linear correlation between horsepower and highway gas mileage (mpg). If there is a linear correlation, write the correlation coefficient below if there is a linear correlation, write the regression equation below. Using the data shown above, predict the the highway gas mileage (mpg) for a car that has a horsepower of 225 If there is a linear correlation, what percentage of variation in highway gas mileage (mpg) can be explained by horsepower?
Use the data in the table, which shows the average annual salaries (both in thousands of dollars) for public school principals and teachers in the U.S. for 11 years. Apply what you have learned in the previous tab to complete this graded lab questions. 1. Repeat the steps from tab #1 using this data to construct a scatter plot graph and calculate the correlation coefficient R. (Recall the corelation coefficient is R and not R Teachers y Principalsx 77.8 43.7 78.4 43.8 80.8 45.0 R= 80.5 45.6, 2. Does the R value represent a positive, negative or no correlation between the salaries ol the teachers and principals? As teacher salaries increase, what happens to prinicipal salaries? 10 11 81.5 45.9 84.8 48.2 12 13 87.7 49,3 3. Write the equation of the regression line for the data below. The equation is y= 14 91.6 51.3 52.9 Teachers y 15 16 95.7 54.4 COD 54.2 =D0.5873x-2.0s07o R=0.995, 17 95.7 4. Use the regression equation that you found in exercise #3 to predict the average annual salary…
Given are 3 observations for two variables, x and y. 1 3 6 9 10 40 What is the value of the correlation coefficient? Select one: a. -0.83 O b. 0.83 c. -0.93 d. 0.93
Which scatter plot shown has a correlation coefficient, r, closest to 0?
Match the correlation coefficients with their scatterplots. Select the letter of the scatterplot below which corresponds to the correlation coefficient. (Click on image for a larger view.) B < 1. r = -0.49 A 2. r = 0.97 D ✓ 3. r = 0.22 4. r = -0.74 A B D
Bt.20.
1. for each of the variables paige has recorded describe what type of data she has for each 2.what type of plot has paige produced? Comment on the initial impressions you gather from this plot. 3.calculate the correlation coefficient between the height of the strawberry plant and the amount of water it gets per day. Interpret the result.
Consider the bivariate data set with n = 7 observations X -4 1 -6 9. -8 -4 -4 Y 20 60 -10 99 -3 16 18 where a linear relationship between X and Y is investigated. The equation relating Y to X is formulated by Y = Bo + B1X + e and is called the simple linear regression equation. Use your calculator to answer the following questions. Give the values of the least squares estimates Bo Round your answer to the nearest integer. Round your answer to 3 decimal places.
The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficient r, and P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between the two variables? Selling Price (x) List Price (y) H₁: p#0 400 412 Construct a scatterplot. Choose the correct graph below. 301 315 376 387 434 440 459 488 H₁ p > 0 477 480 319 324 352 368 417 434 330 341
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation
Below is a subset of the data on quality of marriage and quality of parent-child relationship. Using the data provided below, calculate the correlation between the two variables. You should calculate the correlation "by hand" and show your work that led to the solution (take a picture of your hand-written notes and insert it into this document) Quality of marriage Quality of parent-child relationship 1 5 2