ound your answer to three decimal places.) en. conclude that the relationship between weight (pounds) and price ($) is significant. cannot conclude that the relationship between weight (pounds) and price ($) is significant. Họ: We conclude that the relationship between weight (pounds) and price ($) is significant.

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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
State your conclusion.
Reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant.
Reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant.
Do
reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant.
Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant.
0'
Transcribed Image Text: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 State your conclusion. Reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant. Reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. Do reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant. Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. 0'
Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes.
Brand
Weight
Price ($)
A
17.8
2,100
В
16.1
6,350
C
14.9
8,370
15.9
6,200
E
17.2
4,000
13.1
8,500
G
16.2
6,000
17.1
2,480
I
17.6
3,300
14.1
8,000
These data provided the estimated regression equation ŷ = 28,532 – 1,438x. For these data, SSE = 7,779,221.53 and SST = 52,710,800. Use the F test to determine whether the weight for a bike
and the price are related at the 0.05 level of significance.
%3D
State the null and alternative hypotheses.
Ho: Bo + 0
Ha: Bo
= 0
O Ho: Bo = 0
Ha: Bo + 0
O Hoi Bq = 0
H: B1 + 0
O Ho: Bq z 0
Ha: B1 < 0
O Ho: Bq # 0
Ha: B1 = 0
Transcribed Image Text:Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes. Brand Weight Price ($) A 17.8 2,100 В 16.1 6,350 C 14.9 8,370 15.9 6,200 E 17.2 4,000 13.1 8,500 G 16.2 6,000 17.1 2,480 I 17.6 3,300 14.1 8,000 These data provided the estimated regression equation ŷ = 28,532 – 1,438x. For these data, SSE = 7,779,221.53 and SST = 52,710,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance. %3D State the null and alternative hypotheses. Ho: Bo + 0 Ha: Bo = 0 O Ho: Bo = 0 Ha: Bo + 0 O Hoi Bq = 0 H: B1 + 0 O Ho: Bq z 0 Ha: B1 < 0 O Ho: Bq # 0 Ha: B1 = 0
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