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Fitted values

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119 109

86 −2 −1 0 1 2

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Standardized residuals

Normal Q−Q

119 109

86 6 8 10 12

0.0 0.5 1.0 1.5

Fitted values

S ta nd ar di ze d re si du al s

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119 109 86

0.00 0.05 0.10 0.15 0.20 0.25

−2 −1 0 1 2 3

Leverage

Standardized residuals

Cook’s distance 0.5

0.5 Residuals vs Leverage

121 93 120

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Graz−Mitte 05/06

Datum

PM10 (µg/m³)

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(12)

4 6 8 10 12

−2 0 2 4

Fitted values

Residuals

Residuals vs Fitted

93 119 120

−2 −1 0 1 2

−2 −1 0 1 2 3

Theoretical Quantiles

Standardized residuals

Normal Q−Q

119 93 120

4 6 8 10 12

0.0 0.5 1.0 1.5

Fitted values

S ta nd ar di ze d re si du al s

Scale−Location

93 119 120

0.00 0.05 0.10 0.15 0.20 0.25

−2 −1 0 1 2 3

Leverage

Standardized residuals

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0.5 Residuals vs Leverage

93 120 121

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(13)

0 50 100 150

50 100 150 200

Graz−Mitte 05/06

Datum

PM10 (µg/m³)

PM10 | Prognose1

− PM10

−− Prognose1

´

jlÉ¥Û¾Q®Tbdc'¥lbdj

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(14)

50 100 150 200

50 100 150

pm10

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•

•

t

[µg(= 10 − 6 g)/m 3 ]

t − 2

t − 1

[µg/m 3 ]

[ppb]

[mg/m(= 10 − 3 g) 3 ]

•

t

[ ◦ C]

[l/m 2 ]

[m/s]

•

•

Oktober Jänner März

50 100 150 200

Graz−Mitte

Monat

PM10 (µg/m³)

Winter 05/06

Montag Donnerstag Sonntag

50 100 150 200

Graz−Mitte

Wochentag

PM10 (µg/m³)

Winter 05/06

Mo−Fr Sa So/Fe

50 100 150 200

Graz−Mitte

Tag

PM10 (µg/m³)

Winter 05/06

t

(t − 2)

(t − 1)

x

•

x

•

•

σ

•

r i ∗ > 2

•

> 0.1

50 100 150

−50 0 50

Fitted values

Residuals

Residuals vs Fitted

119 120 121

−2 −1 0 1 2

−2 0 1 2 3 4

Theoretical Quantiles

Standardized residuals

Normal Q−Q

119120 121

50 100 150

0.0 0.5 1.0 1.5

Fitted values S ta nd ar di ze d re si du al s Scale−Location

119 120 121

0.00 0.10 0.20

−3 −1 1 3

Leverage

Standardized residuals Cook’s distance 0.5

0.5 1

Residuals vs Leverage

121 120 122

y = pm10

•

r 2 adj = 0.51

•

•

•

r ∗ i > 2

•

6 8 10 12

[µg(= 10 ⁻ ⁶ g)/m ³ ]

[µg/m ³ ]

[mg/m(= 10 ⁻ ³ g) ³ ]

[ ^◦ C]

[l/m ² ]

r _i ∗ > 2

r ² _adj = 0.51

r ^∗ _i > 2