Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). Brand Price ($) A B с D E F 180 150 95 70 70 35 Score 76 69 59 56 40 24 (a) The estimated regression equation for this data is ŷ = 21.926421 +0.320736x, where x = price ($) and y = overall score. Does the t test indicate significant relationship between price and the overall score? Use a = 0.05. State the null and alternative hypotheses. ⒸHo: P₁ = 0 H. B. Q

MATLAB: An Introduction with Applications
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(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
Regression
Error
Total
Sum
of Squares
Degrees
of Freedom
Mean
Square
F
p-value
Transcribed Image Text:(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 Regression Error Total Sum of Squares Degrees of Freedom Mean Square F p-value
Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient
noise reduction. Scores range from 0 (lowest) to 100 (highest).
Brand
A
B
C
E
F
Price ($)
= 0
Ho: P₁
H₂: B₁ = 0
a
1
180
150
95
70
70
35
Score
76
69
59
56
40
24
(a) The estimated regression equation for this data is ŷ = 21.926421 + 0.320736x, where x =
the overall score? Use α = 0.05.
State the null and alternative hypotheses.
price ($) and y = overall score. Does the t test indicate a significant relationship between price and
Transcribed Image Text:Consider the following data on price ($) 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 A B C E F Price ($) = 0 Ho: P₁ H₂: B₁ = 0 a 1 180 150 95 70 70 35 Score 76 69 59 56 40 24 (a) The estimated regression equation for this data is ŷ = 21.926421 + 0.320736x, where x = the overall score? Use α = 0.05. State the null and alternative hypotheses. price ($) and y = overall score. Does the t test indicate a significant relationship between price and
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