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A Traffic Consultant Has Analysed the Factors That Affect the Number

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Essay

A traffic consultant has analysed the factors that affect the number of traffic fatalities. She has come to the conclusion that two important variables are the number of cars and the number of tractor-trailer trucks. She proposed the second-order model with interaction: y=y = β0+β1x1+β2x2+β3x12+β4x22+β5x1x2+ε\beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 1 } ^ { 2 } + \beta _ { 4 } x _ { 2 } ^ { 2 } + \beta _ { 5 } x _ { 1 } x _ { 2 } + \varepsilon .
Where:
y = number of annual fatalities per shire. x1x _ { 1 } = number of cars registered in the shire (in units of 10 000). x2x _ { 2 } = number of trucks registered in the shire (in units of 1000).
The computer output (based on a random sample of 35 shires) is shown below.
THE REGRESSION EQUATION IS y=y = 69.7+11.3x1+7.61x21.15x120.51x220.13x1x269.7 + 11.3 x _ { 1 } + 7.61 x _ { 2 } - 1.15 x _ { 1 } ^ { 2 } - 0.51 x _ { 2 } ^ { 2 } - 0.13 x _ { 1 } x _ { 2 } .  Predictor  Coef  SDev T Constant 69.741.31.688x111.35.12.216x27.612.552.984x121.150.641.797x220.510.202.55x1x20.130.101.30\begin{array} { | c | r r r | } \hline \text { Predictor } & \text { Coef } & \text { SDev } & T \\\hline \text { Constant } & 69.7 & 41.3 & 1.688 \\x _ { 1 } & 11.3 & 5.1 & 2.216 \\x _ { 2 } & 7.61 & 2.55 & 2.984 \\x _ { 1 } ^ { 2 } & - 1.15 & 0.64 & - 1.797 \\x _ { 2 } ^ { 2 } & - 0.51 & 0.20 & - 2.55 \\x _ { 1 } x _ { 2 } & - 0.13 & 0.10 & - 1.30 \\\hline\end{array} S = 15.2 R-Sq = 47.2%.
ANALYSIS OF VARIANCE  Source of df SS MSF Variation  Regression 559591191.8005.181 Error 296671230.034 Total 3412630\begin{array} { | l | c c c c | } \hline \text { Source of } & d f & \text { SS } & M S & F \\\text { Variation } & & & & \\\hline \text { Regression } & 5 & 5959 & 1191.800 & 5.181 \\\text { Error } & 29 & 6671 & 230.034 & \\\hline \text { Total } & 34 & 12630 & & \\\hline\end{array} Test at the 1% significance level to determine whether the interaction term should be retained in the model.

Understand the basic concepts and branches of linguistics.
Differentiate between animal communication systems and human language.
Identify context effects in language at various levels.
Distinguish between the smallest units of language, including phonemes and morphemes.

Definitions:

Fluor/o

A combining form used in medical terminology referring to fluoride or fluorine.

Milli-

A prefix in the metric system denoting a factor of one thousandth (0.001).

Ultra-

A prefix used to denote something that is beyond the usual or extreme, often seen in medical terms like "ultrasound," referring to sound waves at frequencies above those audible to humans.

Nuclear Medicine

A branch of medicine that uses radioactive substances in diagnosis and treatment of diseases.

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