Answer Happy

You may need to use the appropriate technology to answer this
question. Consider the following data on x = weight (pounds) and y
= price ($) for 10 road-racing bikes.
These data provided the estimated regression equation
ŷ = 28,466 − 1,432x.
For these data, SSE
= 7,141,227.05 and SST = 51,699,800. Use
the F test to determine whether the weight for a
bike and the price are related at the 0.05 level of
significance.
State the null and alternative hypotheses.
H0: 𝛽1 ≠ 0
Ha: 𝛽1 =
0H0: 𝛽0 = 0
Ha: 𝛽0 ≠ 0 H0: 𝛽1 ≥ 0
Ha: 𝛽1 <
0H0: 𝛽1 = 0
Ha: 𝛽1 ≠ 0H0: 𝛽0 ≠ 0
Ha: 𝛽0 = 0
Find the value of the test statistic. (Round your answer to two
decimal places.)
Find the p-value. (Round your answer to three
decimal places.)
p-value =
State your conclusion.
Reject H0. We conclude that the
relationship between weight (pounds) and price ($) is
significant.
Do not reject H0. We cannot conclude
that the relationship between weight (pounds) and price ($) is
significant.
Do not reject H0. We conclude
that the relationship between weight (pounds) and price ($) is
significant.
Reject H0. We cannot conclude that the
relationship between weight (pounds) and price ($) is
significant.