1. (a) From the heights (X1), weights (X2) and ages (X3) of a group of students the following standard deviations and correlation coefficients were obtained: o, = 2.8 inches, o, = 12 lbs and o, = 1.5 years, r,2 = 0.75, r23 = 0.54, and r3, = 0.43. i. How much contribution does height and age of students make in explaining the variations in weights? ii. Determine the rate of change in weight of a student with respect to his/her height at a certain age. iii. What would be the expected weight of a student of 18 years of age with 62 inches of height?

1. (a) From the heights (X1), weights (X2) and ages (X3) of a group of students the following standard deviations and correlation coefficients were obtained: o, = 2.8 inches, o, = 12 lbs and o, = 1.5 years, r,2 = 0.75, r23 = 0.54, and r3, = 0.43. i. How much contribution does height and age of students make in explaining the variations in weights? ii. Determine the rate of change in weight of a student with respect to his/her height at a certain age. iii. What would be the expected weight of a student of 18 years of age with 62 inches of height?

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

A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 70 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women N Mean StDev SE Mean Men Women 98% CI for mu Men - mu Women (- 12.20, - 1.00) T-Test mu Men = mu Women (vs H2 O C. Ho: H1 = H2; Ha: H1 #H2 (b) Identify the P-value and state the researcher's conclusion if the level of significance was a = 0.01. What is the P-value? P-value =
This question has 4 parts, Thank you.
A researcher obtained the following results for a study: n = 44, SSy = 340603, SSx = 33712, B̂ = 2.0025 Find the correlation for these results?
Let wages denote hourly wages, educ years of education, and exper years of experience, and suppose log(wages) = f1 + 62educ + B3exper +e where E[eleduc, exper] = 0. Let b1, b2, and bz be our estimates for B1, B2, and ß3 and r23 denote the sample correlation between {educ,}", and {exper, }". Which of the following statements is true? II O a. The variance of b3 does not depend on r23. O b. The variance of b, is increasing in E" (educ, – educ,)² (all else equal). O c. The variance of b2 is at least as large as o²/ E", (educ, - educ,)2 for o? Var(eleduc, exper). O d. The variance of b2 depends on the sign of r23. O e. The variance of b2 always increases as r23 increases (all else equal).
From the following data calculate (i) Correlation coefficient (ü) Standard Deviation of Y (Gy) X=-85 Y Y= 89 X Gz=3
what are the critical values r =?
A set of n=15 pairs of scores (x and y values) has Ssx =200, Ssy=60, and Sp=30.What is the Pearson correlation for these data?
The following information represents chlorine residuals in swimming pool (y) and the testing time (y) in different hours: n = 6, Ey = 8.8, Ey = 18.68, Ex = 42, Ex2 = 364, and Exy = 48.6 The sample correlation coefficient is: -0.6467 - 0.9899 - 0.9088 0.6467
A set of n = 15 pairs of scores (X and Y values) has SSX = 4, SSY = 25, and SP = 6. What is the Pearson correlation for these data? Question 10 options: 6/100 6/10 6/(100/15) 6/(10/√15)
You are interested in knowing whether wealthier people are happier. You collected data from fifty people about their incomes and their overall happiness levels on a scale of 1 to 10. Upon analyzing the results, you find that the correlation coefficient has a value of -0.25. On the basis of this data, respond to the following: • How would you interpret the correlation coefficient in terms of strength and direction?
Given that the means of x and y are 64 and 66 , their standard deviations are 2.8 and 3.2 respectively and the coefficient of correlation between them is 0.5. 1) write down the regression lines.
For a data set of brain volumes (cm3) and IQ scores of eleven males, the linear correlation coefficient is requals 0.883.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? The critical values are (Type integers or decimals. Do not round. Use a comma to separate answers as needed.)