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 ($) is significant.
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
![Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value
State your conclusion.
Reject Ho. We conclude that the relationship between weight (pounds) and price ($) 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 ($) is significant.
0'](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6fccbe0e-690a-4599-ae28-c1fea38612a2%2Fb2bb0820-ef77-486e-92ef-4e3782233656%2Fjboliru_processed.png&w=3840&q=75)
![Consider the following data on x = weight (pounds) and y = price ($) 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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6fccbe0e-690a-4599-ae28-c1fea38612a2%2Fb2bb0820-ef77-486e-92ef-4e3782233656%2Fbsr38fj_processed.png&w=3840&q=75)
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