Here is some data for two variables: "Number of Office Hours Visits" and "Score in theClass." The covariance is 6.375. The mean number of visits is five with a standarddeviation of 3.54. The mean score is 87.2 with a standard deviation of 11.3. Whatproportion of the variability (sum of squares) in "Score" is directly attributable to thevariability in "Number of Visits"? (In other words, what is the proportion of explainedsquared error?) Here is some data for two variables: "Number of Office Hours Visits" and "Score in theClass." The covariance is 6.375. The mean number of visits is five with a standarddeviation of 3.54. The mean score is 87.2 with a standard deviation of 11.3. Whatproportion of the variability (sum of squares) in "Score" is directly attributable to thevariability in "Number of Visits"? (In other words, what is the proportion of explainedsquared error?)VisitsScore681954891088963.

The proportion of variability in the variable "score" that can be explained (or attributable) by…

Answered: Here is some data for two variables:…

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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Here is some data for two variables: "Number of Office Hours Visits" and "Score in the

Class." The covariance is 6.375. The mean number of visits is five with a standard

deviation of 3.54. The mean score is 87.2 with a standard deviation of 11.3. What

proportion of the variability (sum of squares) in "Score" is directly attributable to the

variability in "Number of Visits"? (In other words, what is the proportion of explained

squared error?)

Here is some data for two variables: "Number of Office Hours Visits" and "Score in the
Class." The covariance is 6.375. The mean number of visits is five with a standard
deviation of 3.54. The mean score is 87.2 with a standard deviation of 11.3. What
proportion of the variability (sum of squares) in "Score" is directly attributable to the
variability in "Number of Visits"? (In other words, what is the proportion of explained
squared error?)
Visits
Score
68
1
95
4
89
10
88
96
3.

Definition Definition Measure of how two random variables change together. Covariance indicates the joint variability or the directional relationship between two variables. When two variables change in the same direction (i.e., if they either increase or decrease together), they have a positive covariance. When the change is in opposite directions (i.e., if one increases and the other decreases), the two variables have a a negative covariance.

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