he following table shows the number of years of school, x, completed by ten randomly selected people and their scores on a test measuring prejudice, y. Determine the correlation coefficient between years of education and scores on a prejudice test. Respondent A B C D E F G H I J Years of school (x) 6 11 15 5 9 7 10 9 10 13 Score on test (y) 8 5 2 9 6 7 6 5 6 3 r≈ (Round to two decimal places.)

he following table shows the number of years of school, x, completed by ten randomly selected people and their scores on a test measuring prejudice, y. Determine the correlation coefficient between years of education and scores on a prejudice test. Respondent A B C D E F G H I J Years of school (x) 6 11 15 5 9 7 10 9 10 13 Score on test (y) 8 5 2 9 6 7 6 5 6 3 r≈ (Round to two decimal places.)

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

Refer to the correlation table for this question, The data come from Wave 5 of the Arab Barometer survey in Kuwait and were collected in 2019. In this analysis, we see the correlation between age and years of education (Pearson's R= -0.2729) with the p-value (0.0000) below. Explain what a correlation coefficient is and interpret the one you see here. edu_ye~s age edu_years 1.0000 age -0.2729 1.0000 0.0000
Help me please
For a data set of brain volumes and IQ scores of 11 miles the linear correlation coefficient is our equals 0.4 for one use the table available to find the critical values of our base on a comparison of the linear correlation coefficient or and the critical values what do you conclude about a linear correlation?
A statistic teacher recorded the Math and Science test scores of twelve students from one section. Using 0.05 as the level of significance, is there a significant relationship between the test scores in Mathematics and Science? Student number Math Scores (X) Science Scores (Y) 1 18 20 2 16 18 3 11 12 4 15 17 5 15 15 6 11 14 7 11 12 8 13 14 9 8 10 10 9 13 11 13 12 12 7 9
If X variable increasing when Y variable decreasing, then there is a negative correlation between them. Select one: True False
Suppose data are collected concerning the weight of a person in pounds and the number of calories burned in 30 minutes of walking on a treadmill at 3.5 miles per hour. How would the value of the correlation coefficient, r, change if all of the weights were converted to kilograms?
Data collected from a sample of 8 students relating study time (x in hours per week) and leisure time (y in hours per week) yielded the information shown below. What is the value of the sample correlation coefficient? Enter your answer accurate to TWO (2) decimal places. X= 59.37 Y = 4.25 SS= 1843.87 SS, = -49.75 SS, = 7.5
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
Can you please check my work
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?
2.)Use the following data where Y is the dependent and X is the independent variable: SALES EXPERIENCE Y ('000TL) X(Years) 114 61 129 135 117 6 17 11 7 12 Test the hypothesis that there is a significant correlation between Y and X at 1% level of significance.
urce For a data set of chest sizes (distance around chest in inches) and weights (pounds) of eleven anesthetized bears that were measured, the linear correlation coefficient is r=0.861. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? Click the icon to view the table of critical values of r. pe here to search Table of Critical Values of r Number of Pairs of Data n 4 5 6 7 8 9 10 11 12 Print Et Critical Value of r 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 Done 99+ - X 3 + C More Clear all Check answer 82°F & 01