In: Math
1. 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 | 2222 | 2626 | 2727 | 3636 | 4545 |
---|---|---|---|---|---|
Number of Bids | 11 | 44 | 55 | 55 | 77 |
Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values b0= −1.9336 and b1= 0.2030 for the calculations. Round your answer to three decimal places.
Step 2 of 5: Calculate the estimated variance of errors, s2e. Round your answer to three decimal places.
Step 3 of 5: Calculate the estimated variance of slope, s2b1. Round your answer to three decimal places.
Step 4 of 5: Construct the 80% confidence interval for the slope. Round your answers to three decimal places.
Lower endpoint:
Upper endpoint:
Step 5 of 5: Construct the 98% confidence interval for the slope. Round your answers to three decimal places.
Lower endpoint:
Upper endpoint:
step 1:
SSE =Syy-(Sxy)2/Sxx= | 5.069 |
Step 2 of 5:
error Variance σ2 = | s2 =SSE/(n-2) | = | 1.690 |
Step 3 of 5:
Calculate the estimated variance of slope,=s2/Sxx =0.005
Step 4 of 5:
for 80 % CI value of t= | 1.6380 | ||||
margin of error E=t*std error = | 0.115 | ||||
lower confidence bound=estimated slope-margin of error = | 0.088 | ||||
Upper confidence bound=estimated slope+margin of error= | 0.318 |
Step 5 of 5:
for 98 % CI value of t= | 4.5410 | ||||
margin of error E=t*std error = | 0.319 | ||||
lower confidence bound=estimated slope-margin of error = | -0.116 | ||||
Upper confidence bound=estimated slope+margin of error= | 0.522 |