Consider the relationship between the number of bids an item on eBay received and the item's selling price. The following is a sample of 55 items sold through an auction.
Price in Dollars | 102102 | 155155 | 159159 | 171171 | 172172 |
---|---|---|---|---|---|
Number of Bids | 1414 | 1515 | 1515 | 1818 | 1818 |
Table
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Step 1 of 5:
Calculate the sum of squared errors (SSE). Use the values b0=8.3189b0=8.3189 and b1=0.0506b1=0.0506 for the calculations. Round your answer to three decimal places.
Step 2 of 5:
Calculate the estimated variance of errors, s2ese2. Round your answer to three decimal places.
Step 3 of 5:
Calculate the estimated variance of slope, s2b1sb12. Round your answer to three decimal places.
Step 4 of 5:
Construct the 95%95% confidence interval for the slope. Round your answers to three decimal places.
Step 5 of 5:
Construct the 90%90% confidence interval for the slope. Round your answers to three decimal places.
The statistical software output for this problem is :
Step 1 : SSE = 5.496
Step 2 : S2e = 1.832
Step 3 : S2b = 0.001
Step 4 : The 95% confidence interval for the slope is :
(-0.024 , 0.125)
Step 5 : The 90% confidence interval for the slope is :
(-0.005 , 0.106)
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