Example 10. In a partially destroyed laboratory record of ananalysis of a correlation data, the following resutls only are eligible :Variance of x = 9Regression equations : 8x – 10y + 66 = 0, 40x – 18y = 214What were (a) the mean values of x and y, (b) the standard deviationof y, and (c) the co-efficient of correlation between x and y.

Answered: Image /qna-images/answer/afb7f5f4-a5de-4b77-aa2b-c923d16476ad.jpg

Answered: Example 10. In a partially destroyed…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A researcher conducts a standard multiple regression analysis to predict alcohol addiction as a function of the following predictors: loneliness (sr squared = .04), employment status (sr squared = .16), and self-efficacy (sr squared = .25). If there is no shared variance, the partial correlation squared for self-efficacy would be: a. .556 (i.e., .25 / .45) b. .50 (i.e., squareroot(.25)). c. .454 (i.e., .25 / .55) d. .313 (i.e., .25 / .80)
A Pearson correlation of r = -0.90 indicates that the data points are clustered close to a line that slopes down to the right. Question 3 options: True False
If the linear association between two numerical variables is studied and the correlation coefficient is 0.32, it can be concluded that:a. The relationship between the variables is inverse and weak. b. The percentage of variability observed in the data that is explained by the error is 89.76%. c. The percentage of observed variability in the data that is explained by the model is 32%. d. None is correct Please explain clearly, thank you
A company wishes to estimate a regression line for the relationship between sales and advertising. а. To arrive at its decision regarding the best model to use, the company has calculated the following three correlation coefficients. i. ii. The sales in any month depend on that month's advertising with r = 0.28 The sales in any month depend on 50% of the previous month's advertising and 50% of that month's advertising with r= 0.68 The sales in any month depend on the previous month's advertising with r = 0.92 iii. Interpret each of the above correlation coefficients and state which of the suggested models you would choose as the basis for predicting sales. Justify your answer.
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?
Consider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is -1, then: a. All points lie in a straight line with a slope of -1. b. All points lie in a straight line with an unknown negative slope. c. All points do not lie in a straight line but the best fitting regression line has a slope of -1 d. There is a strong positive relationship between the two variables.
At question c it reads - competitor number 14(row12)
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
Data from the United Nations on individual countries Obesity rates and vegetable consumption by country were organized into the scatter plot below. Linear Regression Equation for this data: y = -0.8449x + 50.328 Correlation Coefficient: 0.5 Question 8 options: Strongly Correlated Weakly Correlated Not correlated Moderately Correlated
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.

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