1)
SSE = 'Σ(Yi-Ŷ)2 = | 0.859 |
2)
error Variance | s2 =SSE/(n-2)= | 0.172 |
3)
estimated variance of slope =se(β1) =s2/Sxx= | 0.003 |
4)
for 99 % CI value of t= | 4.0320 | ||
margin of error E=t*std error = | 0.233 | ||
lower bound=estimated slope-margin of error = | -0.457 | ||
Upper bound=estimated slope+margin of error= | 0.009 |
5)
for 90 % CI value of t= | 2.0150 | ||
margin of error E=t*std error = | 0.116 | ||
lower bound=estimated slope-margin of error = | -0.340 | ||
Upper bound=estimated slope+margin of error= | -0.107 |
The data in the table is the number of absences for students and their corresponding grade....
The data in the table is the number of absences for 7 students and their corresponding grade Number of Absences 11 2 2 3 3 7 Grade 4|3.7 | 3.5 I 27 I 2.4 | 1.7|1.7 Step 5 of 5 : Construct the 99 % confidence interval for the slope. Round your answers to three decimal places Previous Answers b -0.3607 bo 3.7933 Lower endpoint Upper endpoint SSE 2021 20.404 0016
The data in the table is the number of absences for 7 students and their corresponding grade. Number of Absences 3 Grade 3.9 34 3.3 3.3 2.7 2.6 2.1 2 Table Copy Data Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values bo = 3.9178 and b, = -0.2787 for the calculations. Round your answer to three decimal places. Tables Keypad Answer How to enter your answer Summation table x2 y2 Student 1 1 3.9...
The data in the table is the number of absences for 77 students and their corresponding grade. Number of Absences 0 0 2 3 4 5 6 Grade 3.8 3.7 3.5 3.5 3.4 3.1 1.5 Step 4 of 5 : Construct the 99% confidence interval for the slope. Round your answers to three decimal places.
The data in the table is the number of absences for 7 students and their corresponding grade. Number of Absences 0 0 2 2 4 4 5 Grade 3.3 3 2.1 1.8 1.8 1.7 1.6 Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values b0=2.9391 and b1=−0.3102 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....
The data in the table is the number of absences for 7 students and their corresponding grade. Number of Absences 1 1 4 5 6 7 7 Grade 3.8 3.4 3.3 2.8 2.1 1.6 1.6 Table Copy Data Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values b0=4.1035 and b1=−0.3266 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 90% confidence interval for the slope. Round your answers to three decimal places. Step 5 of 5: Construct the 98% confidence interval for the slope. Round your answers to three decimal places. The data in the table is...
The data in the table is the number of absences for 5 students and their corresponding grade. Number of Absence 5 8 9 10 11 Grade 90 78 74 62 58 Copy Data Calculate the coefficient of determination, r2r2. 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. Step 5 of 5: Construct the 90% confidence interval for the slope. Round your answers to three decimal places. The data in the table is the number of absences for 7 students and their corresponding grade. 3 6 6 7 Number of Absences...
The following data give the number of hours 7 students spent studying and their corresponding grades on their midterm exams. Hours Studying 0.5 0.5 1 2 2 2.5 4 Midterm Grades 66 78 78 86 90 95 99 Copy Da ev Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values bo = 69.7311 and b = 8.3106 for the calculations. Round your answer to three decimal places. Answer/How to Enter) 4 Points Keypa The following...
Question 5of 16 Step 1 of 2 The following table was generated from the sample data of 10 college students regarding the number of parking tickets the student recelves in a of parking tickets, and the second independent variable (t2) is the student's age. 01:25:23 semester, the student's age, and the student's GPA. The dependent variable is the student's GPA, the first independent variable (xy) is the number Coefficients Standard ErrorStatp-value 3799071 2.671951 5.164417 0.002086 0.914815 0.395565 0.598143 0.139329 4.29301...