In: Statistics and Probability
The data in the table is the number of absences for 7 students and their corresponding grade. Number of Absences 2 3 3 5 5 6 6 Grade 3.8 3.6 3.2 2.5 2.1 2 1.7 Table
Step 1 of 5 : Calculate the sum of squared errors (SSE). Use the values b0=4.8669 and b1=−0.5056 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.
Step 5 of 5 : Construct the 80% confidence interval for the slope. Round your answers to three decimal places.
SSE =Syy-(Sxy)2/Sxx= | 0.217 |
Step 2 of 5 :
s2 =SSE/(n-2)= | 0.043 |
Step 3 of 5 :
estimated variance of slope Var(β1) =s2/Sxx= | 0.003 |
Step 4 of 5
for 98 % CI value of t= | 3.3650 | |
margin of error E=t*std error = | 0.1783 | |
lower bound=estimated slope-margin of error = | -0.684 | |
Upper bound=estimated slope+margin of error= | -0.327 |
step 5:
for 80 % CI value of t= | 1.4760 | |
margin of error E=t*std error = | 0.0782 | |
lower bound=estimated slope-margin of error = | -0.584 | |
Upper bound=estimated slope+margin of error= | -0.427 |