(a) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x. (Round b, to the nearest integer and b, to two decimal places and b, to three decimal places.) (b) Use a = 0.01 to test for a significant relationship. State the null and alternative hypotheses. O Hg: bo = b, = b, = 0 H: One or more of the parameters is not equal to zero. O Ha: One or more of the parameters is not equal to zero. H: b, - b, - 0 O Ho: One or more of the parameters is not equal to zero. H,: bo = b, = b, = 0 O Ho: b, - b2 = 0 H: 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 the p-value. (Round your answer to three decimal places.) p-value - What is your conclusion? O Reject H. We cannot conclude that the relationship is significant. O Do not reject Ho: We cannot conclude that the relationship is significant. O Reject H. We conclude that the relationship is significant. O Do not reject H. We conclude that the relationship is significant. (c) 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.) |vehicles per hour

MATLAB: An Introduction with Applications
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(a) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x. (Round b, to the nearest integer and b, to two decimal places and b, to three decimal places.)
(b) Use a = 0.01 to test for a significant relationship.
State the null and alternative hypotheses.
O Ho: bo = b, = b2 = 0
H: One or more of the parameters is not equal to zero.
O Hn: One or more of the parameters is not equal to zero.
H: b, = b, = 0
O H: One or more of the parameters is not equal to zero.
H: bo = b, = b2 = 0
O Ho: b, = b, = 0
H: 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 the p-value. (Round your answer to three decimal places.)
p-value =
What is your conclusion?
O Reject H.. We cannot conclude that the relationship is significant.
O Do not reject H.. We cannot conclude that the relationship is significant.
O Reject H.. We conclude that the relationship is significant.
O Do not reject H.. We conclude that the relationship is significant.
(c) 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.)
vehicles per hour
Transcribed Image Text:(a) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x. (Round b, to the nearest integer and b, to two decimal places and b, to three decimal places.) (b) Use a = 0.01 to test for a significant relationship. State the null and alternative hypotheses. O Ho: bo = b, = b2 = 0 H: One or more of the parameters is not equal to zero. O Hn: One or more of the parameters is not equal to zero. H: b, = b, = 0 O H: One or more of the parameters is not equal to zero. H: bo = b, = b2 = 0 O Ho: b, = b, = 0 H: 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 the p-value. (Round your answer to three decimal places.) p-value = What is your conclusion? O Reject H.. We cannot conclude that the relationship is significant. O Do not reject H.. We cannot conclude that the relationship is significant. O Reject H.. We conclude that the relationship is significant. O Do not reject H.. We conclude that the relationship is significant. (c) 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.) vehicles per hour
A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized:
y = B, + B,x + E
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)
1,257
35
1,329
40
1,227
30
1,335
45
1,351
50
1,123
25
In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation.
ý = bo + b,x + b,x?
(a) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x2. (Round b, to the nearest integer and b, to two decimal places and b, to three decimal places.)
Transcribed Image Text:A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized: y = B, + B,x + E 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) 1,257 35 1,329 40 1,227 30 1,335 45 1,351 50 1,123 25 In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation. ý = bo + b,x + b,x? (a) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x2. (Round b, to the nearest integer and b, to two decimal places and b, to three decimal places.)
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