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Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest).
Brand | Price ($) | Score |
---|---|---|
A | 180 | 76 |
B | 150 | 69 |
C | 95 | 63 |
D | 70 | 56 |
E | 70 | 38 |
F | 35 | 28 |
(a)
The estimated regression equation for this data is
ŷ = 24.398 + 0.306x,
where x = price ($) and y = overall score. Does the t test indicate a significant relationship between price and the overall score? Use α = 0.05.
State the null and alternative hypotheses.
H0: β1 ≠ 0
Ha: β1 =
0H0: β0 ≠ 0
Ha: β0 =
0 H0:
β1 = 0
Ha: β1 ≠
0H0: β1 ≥ 0
Ha: β1 <
0H0: β0 = 0
Ha: β0 ≠ 0
Find the value of the test statistic. (Round your answer to three decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value =
What is your conclusion?
Do not reject H0. We cannot conclude that the relationship between price ($) and overall score is significant. Reject H0. We cannot conclude that the relationship between price ($) and overall score is significant. Reject H0. We conclude that the relationship between price ($) and overall score is significant. Do not reject H0. We conclude that the relationship between price ($) and overall score is significant.
(b)
Test for a significant relationship using the F test. Use α = 0.05.
State the null and alternative hypotheses.
H0: β0 = 0
Ha: β0 ≠
0H0: β1 ≠ 0
Ha: β1 =
0 H0:
β1 = 0
Ha: β1 ≠
0H0: β0 ≠ 0
Ha: β0 =
0H0: β1 ≥ 0
Ha: β1 < 0
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
What is your conclusion?
Do not reject H0. We cannot conclude that the relationship between price ($) and overall score is significant. Reject H0. We conclude that the relationship between price ($) and overall score is significant. Do not reject H0. We conclude that the relationship between price ($) and overall score is significant.Reject H0. We cannot conclude that the relationship between price ($) and overall score is significant.
(c)
Show the ANOVA table for these data. (Round your p-value to three decimal places and all other values to two decimal places.)
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
---|---|---|---|---|---|
Regression | |||||
Error | |||||
Total |
Applying regression from excel: data-data analysis: regression:
a)
H0: β1 = 0
Ha: β1 ≠ 0
test stat t = | (bo-β1)/se(β1)= | = | 4.184 |
p value: | = | 0.0139 |
Reject H0. We conclude that the relationship between price ($) and overall score is significant.
b)
H0: β0 = 0
Ha: β0 ≠ 0
value of the test statistic =17.50
p value=0.014
Reject H0. We conclude that the relationship between price ($) and overall score is significant.
c)
Source | SS | df | MS | F | p value |
regression | 1400.04 | 1 | 1400.04 | 17.50 | 0.014 |
Residual error | 319.96 | 4 | 79.99 | ||
Total | 1720.00 | 5 |
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