Question

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.

Answer #1

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 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 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 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 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 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 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 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 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 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

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 50 seconds ago

asked 2 minutes ago

asked 2 minutes ago

asked 8 minutes ago

asked 20 minutes ago

asked 34 minutes ago

asked 41 minutes ago

asked 43 minutes ago

asked 44 minutes ago

asked 49 minutes ago

asked 51 minutes ago

asked 53 minutes ago