Question

The attached file "Missed Classes" identifies the number of missed classes a student had during the...

The attached file "Missed Classes" identifies the number of missed classes a student had during the previous semester, and the final grade that student had in the course. You are to use this file to answer several questions.

Missed Classes

Final Grade

4

74

6

79

1

93

4

70

0

96

2

84

0

90

5

86

2

95

1. Using the file "Missed Classes", what is the percentage of the final grade that is determined by the number of missed classes. Hint: this is the coefficient of determination.

Round your answer to three decimal places.

2. Using the file "Missed Classes", complete a regression and determine the F-test statistic.

Round your answer to three decimal places.

3. Using the file "Missed Classes", complete a regression and determine the p-value of the model.

Round your answer to three decimal places.

4. Using the file "Missed Classes", what is the predicted final grade of a student that missed three classes.

Round your answer to the nearest whole number.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The equation of the best fit line relating x, the number of absences, to y, the...
The equation of the best fit line relating x, the number of absences, to y, the final grade is y with hat on top equals 0.449 x minus 30.27. Student A missed 7 classes while student B missed 25 classes. Assuming that the scope of the model is between missing 0 classes to 30 classes, the predicted Final Grades for these grades are as follows: Student A: 76.854; Student B: 27.264 Student A: 89.33; Student B: 50.235 Student A: 76.854;...
Let the random variable X count the number of classes a full-time student enrolls in during...
Let the random variable X count the number of classes a full-time student enrolls in during a semester. The table gives the random variable's probability distribution x P(X=x) 3 0.05 4 0.26 5 0.51 6 0.14 7 0.04 A) Compute the probability that a student will enroll in more than five classes during the semester B) Compute the probability that a student will enroll in at most five classes during a semester C) Compute the probability that a student will...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
Consider the following estimated multiple regression model relating GPA to the number of classes attended and...
Consider the following estimated multiple regression model relating GPA to the number of classes attended and the final exam score in a particular class, and if the student is a freshman (=1 if freshman, =0 otherwise). GPA = -0.3507+0.1096(Attendance) + 0.1697(Exam Score) -0.1380(Freshman) Suppose two students, one a junior and one a freshman, attended the same number of classes and both got a score of 88 on the final exam. What would be the expected difference in the GPa for...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours five randomly selected students spent studying and their...
The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y^=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours ten randomly selected students spent studying and their...
The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT