Question

In: Statistics and Probability

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. The estimated regression equation for these data is ^y=25.164+0.306x.

Brand Price Score
Bose 180 78
Scullcandy 160 71
Koss 85 69
Phillips/O'Neill 80 56
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 a=.05

  (to 2 decimal places.)

-value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 2

What is your conclusion? Use a=.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.
-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 a=.05.

Because p-value is - Select your answer - .05 , we - Select your answer- H0: b1 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

s2 =SSE/(n-2)= 136.1741
std error σ              = =se =√s2= 11.6694
estimated std error of slope =se(β1) =s/√Sxx= 0.0947

a)

test stat t = (bo-β1)/se(β1)= = 3.24

p value is between .025 and .05

There is a significant relationship between price and overall score
b)

test statistic F =10.47

p value is between .025 and .05

Because p-value is less than 0.05 we reject Ho  b1 is zero

c)

Source SS df MS F p value
regression 1426.137 1 1426.137 10.473 0.032
Residual error 544.696 4 136.174
Total 1970.833 5

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