10: Statistical Characterization of a Population 3 Flashcards

1
Q

Covariance, correlation and regression are ________________ _____________ and these measures are _________________ ______________

A

mathematically related
population parameters

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2
Q

Covariance tells us the… And does not inform whether the outcome of the relationship will be…

A

The direction of the relationship btw two variables/values
Beneficial

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3
Q

Covariance can range from…

A

-inf to inf

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4
Q

Correlation is…
Equation?

A

A function of covariance between two traits and their standard deviations

r(x,y)= cov(X,Y)/sdX*sdY

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5
Q

Values for correlation coefficient range from

A

-1 to +1

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6
Q

r(x,y) = +1 tells us… 0 tells us… -1 tells us…

A

+1 = very strong and positive correlation (+ covariation)

0 = no correlation (no covariation)

-1 = very strong and negative correlation (negative covariation)

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7
Q

Number for correlation that is weak, moderate or large

A

Weak = 0.10 to 0.30
Moderate = 0.30 to 0.50
Strong = 0.50 to 1

(or opposite for neg)

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8
Q

What is a correlation heatmap

A

Shows the pattern of correlation between many traits
e.g. slide 15

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9
Q

Notation for correlation of breeding value for trait X and BV for trait Y

A

r BVx, BVy

(BVx, BVy) is lowered

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10
Q

Three types of correlation in animal breeding

A

Phenotypic, genetic and environment

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11
Q

Regression measures…

A

the amount of change in one variable that can be expected for a given amount of change in another

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12
Q

When is order of variables important in notation

A

Regression (there is dependent and independent variable)

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13
Q

Equation for regression

A

b(y*x) = cov(X,Y)/ o^2x
slide 18

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14
Q

The regression of variable Y on variable X is a simple function of the…

A

covariance between the variables and the variance of X

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15
Q

Independent variable is… Dependent is..

A

in = X
dep = Y

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16
Q

In the regression linear relationship of y = a + bx, what is b? a?

A

b = regression coefficient, aka the slope of the best line that indicates a linear relationship btw X and Y

a = the intercept of the linear regression line (b=0)

17
Q

Positive regression indicates… Negative regression indicates…

A

Pos indicates an increase in one variable as the other increases

Neg indicates a decrease in one variable as the other increases

18
Q

Another way to write the regression euqation

A

Y = uY + byx * (X - ux)

slide 22

19
Q

Slide 23**

A

Using regression to predict traits e.g.

20
Q

Example of regression notation for BV of trait X and BV of trait Y

A

b BVy*BVx

21
Q

Slide 25-36

A

Example of evaluation of birth and weaning wight in angus calves (practice example)