Question
In: Statistics and Probability
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 and their corresponding grade. Number of Absences 4 4 4 4 6 6 6 6 6 6 6 6 7 7 Grade 3.7 3.7 3.3 3.3 3.3 3.3 3 3 2.5 2.5 1.9 1.9 1.5 1.5 Table Copy Data Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values b 0 =5.8278 b0=5.8278 and b 1 =−0.5537 b1=−0.5537 for the calculations. Round your answer to three decimal places. Step 2 of 5: Calculate the estimated variance of errors, s 2 e se2 . Round your answer to three decimal places. Calculate the estimated variance of slope, s 2 b 1 sb12 . Round your answer to three decimal places. Construct the 95% 95% confidence interval for the slope. Round your answers to three decimal places. Step 5 of 5: Construct the 98% 98% confidence interval for the slope. Round your answers to three decimal places.
Solutions
orchestra answered 1 year agoRelated Solutions
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 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
statistically significant at the 0.01 level. Step 3 of 3: Calculate
the coefficient of determination, r2 . Round your answer to...
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 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...
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 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
4
4
6
6
7
8
Grade
3.9
3.8
3.2
3
2.8
2.8
2.52
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
Grade 4.5 4 3.5 3 2.5 2 1.5
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.
Number of Absences
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...
The data in the table is the number of absences for 77 students and their corresponding...
The data in the table is the number of absences for 77 students
and their corresponding grade.
Number of Absences
33
55
66
66
66
77
88
Grade
3.93.9
3.83.8
2.92.9
2.72.7
2.42.4
2.32.3
1.91.9
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
calculations. Round your answer to three decimal places.
step2: Calculate the estimated variance of errors, se2. Round
your answer to three decimal places.
step3 :...
This is the final grade and number of absences for a set of students. Regress grade...
This is the final grade and number of absences for a set of
students. Regress grade on absences. Use a 95% confidence level.
Give the equation of estimation. Interpret the equation. According
to the regression, now much does a tardy (= 1/2 an absence) change
your grade? Evaluate the model. What evaluation criterion did you
use? Could this be a case of reverse causality? If so, give an
example of how the causation could run in the opposite
direction.
Student...
The table below gives the number of absences and the overall grade in the class for...
The table below gives the number of absences and the overall
grade in the class for seven randomly selected students. Based on
this data, consider the equation of the regression line, y ?? =
b?_0 ? + b?_1 x, for using the number of absences to predict a
student's overall grade in the class. Keep in mind, the correlation
coefficient may or may not be statistically significant for the
data given. Remember, in practice, it would not be appropriate to...
The table below gives the number of absences and the overall grade in the class for...
The table below gives the number of absences and the overall
grade in the class for seven randomly selected students. Based on
this data, consider the equation of the regression line,
yˆ=b0+b1xy^=b0+b1x, for using the number of absences to predict a
student's overall grade in the class. Keep in mind, the correlation
coefficient may or may not be statistically significant for the
data given. Remember, in practice, it would not be appropriate to
use the regression line to make a...
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