Question

In: Math

The following data on price ($) and the overall score for 6 stereo headphones that were...

The following data on price ($) and the overall score for 6 stereo headphones that were tested by Consumer Reports were as follows.

Brand Price Score
Bose 180 78
Scullcandy 160 77
Koss 85 63
Phillips/O'Neill 70 57
Denon 80 40
JVC 35 27

a. Does the t test indicate a significant relationship between price and the overall score?

The test t-Conclusion at α = .05

t =  (to 2 decimal places.)


p-value is - Select your answer -less than .02between .02 and .05between .05 and .1between .1 and .2greater than .2Item 2

What is your conclusion? Use α = .05.
- Select your answer -There is a significant relationship between price and overall scoreThere is no significant relationship between price and overall scoreItem 3 .

b. Test for a significant relationship using the F test.
p-value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 4

What is your conclusion? Use α = .05.

Because p-value is - Select your answer -greater than or equal toless than or equal toequal toItem 5 .05, we - Select your answer -acceptrejectItem 6 H0: β1 is - Select your answer -greater than or equal to zeroless than or equal to zeroequal to zeroItem 7 .

c. Show the ANOVA table for these data. Round your answers to three decimal places, if necessary.

Source of
Variation
Sum of
Squares
Degrees of
Freedom

Mean Square

F

p-value
Regression - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 12
Error
Total

Solutions

Expert Solution

Solution:

In excel install analysis tool pak and then go to

Data>Data analysis>Regression

Y as Score

X as Price

You will get

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.891021
R Square 0.793919
Adjusted R Square 0.742399
Standard Error 10.31701
Observations 6
ANOVA
df SS MS F Significance F
Regression 1 1640.237 1640.237 15.40987 0.017167
Residual 4 425.7627 106.4407
Total 5 2066
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 24.17373 9.363065 2.581818 0.06121 -1.82231 50.16976
Price 0.322881 0.082251 3.925541 0.017167 0.094515 0.551248

Intrepretation:

t=3.93

p=0.017167

less than .02

since p<0.05

There is a significant relationship between price and overall score

F stat=15.41

p=0.017167

between .01 and .02

Because p-value is  less than or equal to 0.05

Reject Ho.

ANOVA table

ANOVA
sourceof variation Sum of squares Degrees of freedom Mean square F P -vlaue
Regression 1640.237 1 1640.237 15.410 0.017167
Error 425.763 4 106.441
Total 2066.000 5

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