Question
In: Statistics and Probability
The data in the table is the number of absences for 7 students and their corresponding...
The data in the table is the number of absences for 7 students and their corresponding grade.
| Number of Absences | 3 | 3 | 3 | 4 | 4 | 4 | 6 |
|---|---|---|---|---|---|---|---|
| Grade | 3.9 | 3.7 | 3.7 | 2.7 | 2.5 | 1.8 | 1.8 |
Calculate the estimated variance of slope, s^2b1. Round your answer to three decimal places.
Construct the 90% confidence interval for the slope. Round your answers to three decimal places.
Construct the 90% confidence interval for the slope. Round your answers to three decimal places.
Construct the 95% confidence interval for the slope. Round your answers to three decimal places.
Construct the 99% confidence interval for the slope. Round your answers to three decimal places.
Construct the 80% confidence interval for the slope. Round your answers to three decimal places.
Construct the 85% confidence interval for the slope. Round your answers to three decimal places.
Solutions
Expert Solution
estimated variance of slope, s^2b1 =0.044
90% confidence interval for the slope= -1.125 , -0.284
95% confidence interval for the slope = -1.241 , -0.168
99% confidence interval for the slope = -1.546 , 0.138
80% confidence interval for the slope = -1.012 , -0.396
85% confidence interval for the slope = -1.059 , -0.349
orchestra answered 2 years agoRelated Solutions
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The data in the table is the number of absences for 7 students
and their corresponding grade. Number of Absences 1 2 3 4 6 7 8
Grade 5 4.5 4 3.5 2.5 2 1
Step 1 of 3: Calculate the correlation coefficient, r. Round
your answer to six decimal places. Step 2 of 3: Determine if r is
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The data in the table is the number of absences for 7 students and their corresponding...
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Step 1 of 5 : Calculate the sum of squared errors (SSE). Use the
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Step 2 of 5 : Calculate the estimated variance of errors, s2e.
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The data in the table is the number of absences for 7 students and their corresponding...
The data in the table is the number of absences for 7 students
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4
4
6
6
7
8
Grade
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3.8
3.2
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2.8
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Step 3 of 5 : Calculate the estimated variance of slope, s2b1.
Round your answer to three decimal places.
The data in the table is the number of absences for 7 students and their corresponding...
The data in the table is the number of absences for 7 students
and their corresponding grade. Number of Absences 0 1 2 3 5 6 7
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Step 1 of 3: Calculate the correlation coefficient, r. Round
your answer to six decimal places.
Calculate the coefficient of determination, r2r2. Round your
answer to three decimal places.
Determine if r is statistically significant at the 0.050.05
level.
The data in the table is the number of absences for 7 students and their corresponding...
The data in the table is the number of absences for 7 students
and their corresponding grade.
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1
1
2
3
3
6
7
Grade
3.9
3.8
3.7
3.5
2.7
2.4
2
Step 1 of 5: Calculate the sum of squared errors (SSE). Use the
values b0=4.1440 and b1=−0.3047 for the calculations. Round your
answer to three decimal places.
Step 2 of 5: Calculate the estimated variance of errors, Round
your answer to three decimal places.
Step...
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The data in the table is the number of absences for 77 students
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Number of Absences
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66
66
66
77
88
Grade
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Step 1 of 5 : Calculate the sum of squared errors (SSE). Use the
values b0=5.4276b0=5.4276 and b1=−0.4413b1=−0.4413 for the
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step2: Calculate the estimated variance of errors, se2. Round
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step3 :...
The data in the table is the number of absences for 7 7 students and their...
The data in the table is the number of absences for 7 7 students
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Table Copy Data Step 1 of 5: Calculate the sum of squared errors
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b1=−0.5537 for the calculations. Round...
The following data gives the number of hours 7 students spent studying and their corresponding grades...
The following data gives the number of hours 7 students spent
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Hours Spent Studying
0
1
2.5
3
4
4.5
5.5
gRADES
60
69
72
75
78
81
90
Step 1 of 3:
Calculate the correlation coefficient, r. Round your answer to
six decimal places.
Step 2 of 3:
Determine if r is statistically significant at the 0.050.05
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Step 3 of 3:
Calculate the coefficient of determination, r2r2. Round your
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1
1
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2
2.5
5
Grades
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81
82
90
94
97
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Step 1 of 5:
Calculate the sum of squared errors (SSE). Use the values
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Step 2 of 5:
Calculate the estimated variance of errors, s2e. Round your
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78 84 87 93 Step 2 of 3 : Determine if r is statistically
significant at the 0.01 level.
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