A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized:

y=₀+₁x+

where

• y= traffic flow in vehicles per hour
• x= vehicle speed in miles per hour.

The following data were collected during rush hour for six highways leading out of the city.

Traffic Flow (y)	Vehicle Speed (x)
1,258	35
1,330	40
1,228	30
1,333	45
1,347	50
1,126	25

In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation.

=b₀+b₁x+b₂x²

(a)Develop an estimated regression equation for the data of the form

=b₀+b₁x+b₂x².

(Roundb₀to the nearest integer andb₁to two decimal places andb₂to three decimal places.)=

(b)Use= 0.01 to test for a significant relationship.

State the null and alternative hypotheses.

H₀: One or more of the parameters is not equal to zero. H_a:b₀=b₁=b₂= 0H₀: One or more of the parameters is not equal to zero. H_a:b₁=b₂= 0 H₀:b₁=b₂= 0 H_a: One or more of the parameters is not equal to zero.H₀:b₀=b₁=b₂= 0 H_a: One or more of the parameters is not equal to zero.

Find the value of the test statistic. (Round your answer to two decimal places.) Find thep-value. (Round your answer to three decimal places.)

p-value =

What is your conclusion?

Do not rejectH₀. We conclude that the relationship is significant.

RejectH₀. We cannot conclude that the relationship is significant.

Do not rejectH₀. We cannot conclude that the relationship is significant.

RejectH₀. We conclude that the relationship is significant.

Base on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal places.) BLANKvehicles per hour