Calculate Pearson's r correlation between the following two variables: height (in inches) and weight (in pounds) of 25 people. Variable 1 (Height): 68, 70, 72, 68, 67, 71, 68, 68, 72, 69, 72, 69, 67, 68, 72, 71, 72, 69, 68, 69, 68, 72, 71, 70, 69 Variable 2 (Weight): 165, 170, 175, 160, 159, 170, 165, 170, 174, 170, 171, 173, 160, 163, 176, 170, 173, 170, 165, 175, 160, 175, 169, 170, 171

Calculate Pearson's r correlation between the following two variables: height (in inches) and weight (in pounds) of 25 people. Variable 1 (Height): 68, 70, 72, 68, 67, 71, 68, 68, 72, 69, 72, 69, 67, 68, 72, 71, 72, 69, 68, 69, 68, 72, 71, 70, 69 Variable 2 (Weight): 165, 170, 175, 160, 159, 170, 165, 170, 174, 170, 171, 173, 160, 163, 176, 170, 173, 170, 165, 175, 160, 175, 169, 170, 171

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

Which of the following sets of data represent valid functions? OR = {(– 5,0), (2, 3), (6, 4), (8, 9), (15, 14)} OG = {(– 5, – 3), (2, 1), (2, 4), (8, 7), (15, 13)} OS = {(– 5, – 4), (2, 3), (6, 5), (7, 9), (11, 16)} OF = {(– 4, – 1), (3, 2), (5, 4), ( – 4, – 1), (10, 15)} - - Question Help: DVideo
The data below are the ages and annual pharmacy b ills (in dollars) of 9 randomly selected employees. Calculate the linear correlation coefficient.Age, x: 30, 33, 37, 40, 43, 45, 49, 53, 57Pharmacy bill ($), y: 119, 123, 126, 134, 145, 148, 151, 153, 155A. 0.890B. 0.908C. 0.998D. 0.960
Right arm 102 101 94 79 79 Left arm 175 169 182 146 144 If the sample data were to result in the scatterplot shown here, what is the value of the linear correlation coefficient r?
Which of the following values represents the weakest correlation between two variables? о г= -0.17 г= 0.07 K r=0.45 r=-0.62 r = 0.81 00000
A manager wishes to determine the relationship between the number of years the manager's sales representatives have been with the company and their average monthly sales (in thousands of dollars). Calculate the linear correlation coefficient.Years with company, x: 6,7,14,11,12,19,7,5,15Sales, y: 21,23,68,52,55,51,38,45,110
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.
As temperature decreases, rates of crime also seem to decrease. Which of the following Pearsons R values represents the strongest possible correlation between these two variables?" -0.5 -1 0.5 1
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
5If the linear correlation coefficient between the weights (in kg) and heights (in inches) of 6 randomly selected males is 0.95, then 95% of the variation in weights of males can be explained by the linear correlation between height and weight? 1. True 2. False
Below shows the linear relationship between first year college GPA and high school GPA For both variables the GPA ranges from 0 to 4 in this sample. However, for the high schools sampled in this region, the true range of GPA is 0 to 5, how might this affect the correlation between these two variables?
4. Put the r-values in order from the weakest to strongest correlation. r = -0.90 r = 0.050 r = 0.80 r = -0.72 r= 0.45 r= -0.88 r = 0.97
How do I do Pearsons's R Correlation between: Gender: 1. Male 2. Female School Grades 1. 75 and below 2. Around 76-80 3. Around 81-85 4. Around 86-90 5. Around 91-95 6. Around 96-100