In: Math
4. 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 5 items sold through an auction.
Price in Dollars 137 137 151 180 187
Number of Bids 11 12 15 16 17
Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values b0= −1.8618 and b1= 0.1014 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 98% confidence interval for the slope. Round your answers to three decimal places.
Lower endpoint and Upper endpoint
Step 5 of 5: Construct the 90% confidence interval for the slope. Round your answers to three decimal places.
Lower endpoint and Upper endpoint
Step 1 of 5:
SSE =Syy-(Sxy)2/Sxx= | 3.628 |
Step 2 of 5:
error Variance σ2 = | s2 =SSE/(n-2) | = | 1.209 |
Step 3 of 5:
estimated variance of slope =s2/SSxx =0.001
Step 4 of 5:
for 98 % CI value of t= | 4.5410 | ||||
margin of error E=t*std error = | 0.105 | ||||
lower confidence bound=estimated slope-margin of error = | -0.004 | ||||
Upper confidence bound=estimated slope+margin of error= | 0.207 |
Step 5 of 5:
for 90 % CI value of t= | 2.3530 | ||||
margin of error E=t*std error = | 0.054 | ||||
lower confidence bound=estimated slope-margin of error = | 0.047 | ||||
Upper confidence bound=estimated slope+margin of error= | 0.156 |