weight & height for female ul students

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f(Y). s Y = 40. Marginal distribution of Y. M Y = 142. Weight Y. s Y|X = 36. Conditional distribution of Y|X = 68. x 1 = 60. x 2 = 64. x 3 = 68. Regression line. Under usual assumptions, the conditional distributions of Y at each level of Height, X, all have the same variance. - PowerPoint PPT Presentation

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Under usual assumptions, the conditional distributions of Y at each level of Height, X, all have the same variance.

Weight & Height for Female UL Students

Weight Y

x1= 60

x3= 68

f(Y)

Height X

x2= 64 .

Conditional distribution of Y|X = 68

Marginal distribution of Y

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Regression line

Y 1 6 3Y 1 3 5Y 1 0 6

MY = 142

sY = 40

sY|X = 36

Under usual assumptions, the conditional distributions of Y at each level of Height, X, all have the same variance.

Predicting GPA from ACT

GPA Y

x1= 12

x3= 28

f(Y)

ACT X

x2= 20 .

Conditional distribution of Y|X = 28

Marginal distribution of Y

. .. ..

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.. ....

... .. ... .... ....

.. .. ...

.

..... .

. .

Regression line

.Y 3 3 6 8 .Y 2 6 .Y 1832

MY = 2.6

sY = .8

sY|X = .64

Heteroscedastic pattern of errors.

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yt

0The scattered points spread out quite unequally

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