Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes.

Brand	Weight	Price ($)
A	17.8	2,100
B	16.1	6,350
C	14.9	8,370
D	15.9	6,200
E	17.2	4,000
F	13.1	8,700
G	16.2	6,000
H	17.1	2,580
I	17.6	3,500
J	14.1	8,000

These data provided the estimated regression equation

= 28,692 1,445x.

For these data, SSE = 7,097,898.62 and SST = 52,461,800. 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: ₁ 0 H_a: ₁ = 0H₀: ₀ 0 H_a: ₀ = 0 H₀: ₁ = 0 H_a: ₁ 0H₀: ₁ 0 H_a: ₁ < 0H₀: ₀ = 0 H_a: ₀ 0Find 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.Do not reject H₀. We cannot 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. Reject H₀. We 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.