The following table shows the Rate R of Vehicular involvement in traffic per 100,000,000 vehicle miles) as a function accidents of vehicular Commercial vehicles driving at night on Speed S, in miles per hour, for urban R Streets Speed S 20 25 30 35 40 45 Accident Rate 1600 800 250 300 800 1400 Use regression to find a quadratic model for the data CRound the regression parameters to two decimal places) R= Calculate RC60). (Round to two decimal places) RC(₂0)=

The following table shows the Rate R of Vehicular involvement in traffic per 100,000,000 vehicle miles) as a function accidents of vehicular Commercial vehicles driving at night on Speed S, in miles per hour, for urban R Streets Speed S 20 25 30 35 40 45 Accident Rate 1600 800 250 300 800 1400 Use regression to find a quadratic model for the data CRound the regression parameters to two decimal places) R= Calculate RC60). (Round to two decimal places) RC(₂0)=

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

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Question

The following table shows the Rate R of
vehicular involvement in traffic accidents
per 100,000,000 vehicle-miles) as a function.
commercial vehicles driving at night on
Speed S, in miles per hour, for
urban
Streets
Speed S
20
25
30
35
40
45
Accident Rate
1600
800
250
300
800
1400
Use
regression to find a quadratic model for the data
CRound the regression parameters to two decimal places)
R=
Calculate R(60). (Round to two decimal places)
RC(O)=
What does this mean in practical
commercial vehicles driving at night
wbon streets at
traffic accidents at
Vehicle miles
miles
a rate of
terms?
night an
Per har have
per 100,000,000

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R(60) isn't 6176.22 I even tried on my calculator too. But it's saying the answer is wrong

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The following table shows the rate R of vehicular involvement in traffic accidents (per 100,000,000 vehicle-miles) as a function of vehicular speed s, in miles per hour, for commercial vehicles driving at night on urban streets. Speed s Accident rate R 20 1500 25 700 30 250 35 300 40 750 45 1400 (a) Use regression to find a quadratic model for the data. (Round the regression parameters to two decimal places.) R = 7.79s2−514.36s+8733.57 (b) Calculate R(70). (Round your answer to two decimal places.) R(70) = Explain what your answer means in practical terms. Commercial vehicles driving at night on urban streets at miles per hour have traffic accidents at a rate of per 100,000,000 vehicle miles.
Consider the multiple regression model to investigate the relationship between the number of fishes (Y) per section of the stream and the following independent variables: dissolved oxygen (3 < oxy < 10, in mg/liter), maximum depth (1 < maxdepth < 8, in feet), and water temperature (5< temp < 20, in °C). The location of the stream was also considered (lowland and upland). Y-hat = 23.09 + 0.199*oxy + 0.3361*maxdepth +8.6730*temp + 3.8290* lowland. Which of the following is(are) TRUE about the estimated regression coefficient for location of the stream? 1. The location of the stream is a categorical variable, so it is represented by a dummy variable with upland stream as the reference variable. II. Holding other factors constant, the number of fishes in lowland is 3.8290 higher than upland streams. O A. I only O B. II only O C. Both I and II O D. Neither I nor II
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