Question

Consider the following data regarding students' college GPAs and
high school GPAs. The estimated regression equation is

Estimated College GPA=2.29+0.1243(High School GPA).

College GPA | High School GPA |
---|---|

2.45 | 4.90 |

2.35 | 2.51 |

3.82 | 4.44 |

2.20 | 3.26 |

2.07 | 3.76 |

3.58 | 2.98 |

Step 1 of 4 : Compute the sum of squared errors (SSE) for the model. Round your answer to four decimal places.

Step 2 of 4: Compute the standard error (se) of the model. Round your answer to four decimal places.

Step 3 of 4: Compute the mean square error (s2e) for the model. Round your answer to four decimal places.

Step 4 of 4: Calculate the coefficient of determination, R^2. Round your answer to three decimal places.

Answer #1

step 1: sum of squared errors (SSE) =2.7852

Step 2 of 4: standard error (se) of the model =0.8344

Step 3 of 4: Compute the mean square error (s2e) for the model =0.6963

Step 4 of 4: Calculate the coefficient of determination, R^2 =0.0222

Consider the following data regarding students' college GPAs and
high school GPAs. The estimated regression equation is
Estimated College GPA=2.22+0.3649(High School GPA).Estimated
College GPA=2.22+0.3649(High School GPA).
GPAs
College GPA
High School GPA
2.78
3.34
3.70
2.14
2.27
2.09
3.47
2.93
3.14
2.26
3.95
3.66
Step 3 of 3 :
Compute the standard error (se) of the model. Round your answer
to four decimal places.

Consider the following data regarding students' college GPAs and
high school GPAs.
The estimated regression equation is Estimated College
GPA=4.28+(−0.2134)(High School GPA).
college gpa
highschool gpa
3.86
3.15
3.95
2.27
2.86
4.02
3.42
3.08
3.94
4.71
3
4.51
Step 3 of 3 : Compute the standard error (se) of the model.
Round your answer to four decimal places.

Consider the following data regarding students' college GPAs and
high school GPAs. The estimated regression equation is
Estimated College GPA=4.06+(−0.3181)(High School GPA).
GPAs
College GPA
High School GPA
2.46
4.73
2.15
4.18
3.36
2.71
3.45
2.99
2.63
3.35
3.07
4.87
Step 1 of 3 :
Compute the sum of squared errors (SSE) for the model. Round
your answer to four decimal places.

Open SAT data.
Test if there is a significant difference in College and High
school GPAs. Answer the questions for Assessment. (Pick the closest
answer)
4. What is the P-value?
a. 0.51364714
b. 0.256823064
c. 6.18089E-06
d. None of these
5. What is the Statistical interpretation?
a. The P-value is too small to have a conclusive
answer.
b. The P-value is too large to have a conclusive
answer.
c. The P-value is much smaller then 5%, thus we are
very...

The following data gives the number of hours 5 students spent
studying and their corresponding grades on their midterm exams.
Hours Spent Studying
0
2
3
4
6
Midterm Grades
63
66
81
84
93
Step 1 of 3: Calculate the coefficient of determination, R^2.
Round your answer to three decimal places.
Step 2 of 3: Compute the mean square error (s2e) for the model.
Round your answer to four decimal places.
Step 3 of 3: Compute the standard error...

Consider the following table:
Source
SS
DF
MS
Test Statistic
Regression
??
3
2.29
Error
4766.5
Total
8040.34
13
Copy Data
Step 1 of 9:
Calculate the Sum of Squared Regression. Round your answer to
two decimal places, if necessary.
Consider the following table:
Source
SS
DF
MS
Test Statistic
Regression
3
2.29
Error
4766.5
??
Total
8040.34
13
Copy Data
Step 2 of 9:
Calculate the Degrees of Freedom among Error.
Consider the...

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...

College bound: A national college researcher
reported that 68% of students who graduated from high school in
2012 enrolled in college. Thirty two high school graduates are
sampled. Round the answers to four decimal places.
(a) What is the probability that exactly
20
of them enroll in college?
The probability that exactly
20
of them enroll in college is .
Part 2 of 4
(b) What is the probability that more than
13
enroll in college?
The probability that more...

The following table was generated from the sample data of 10
college students regarding the number of parking tickets the
student receives in a semester, the student's age, and the
student's GPA. The dependent variable is the student's GPA, the
first independent variable (x1) is the number of parking tickets,
and the second independent variable (x2) is the student's age.
Coefficients Standard Error t-Stat p-value Intercept −8.593245
1.831876 −4.690952 0.005381 Number of Parking Tickets −0.023715
0.045205 −0.524623 0.622265 Student's Age...

The following data give the number of hours 5 students spent
studying and their corresponding grades on their midterm exams.
Hours Studying
1
1
1
2
5
Midterm Grades
85
86
91
96
100
Step 4 of 5: Construct the 95% confidence
interval for the slope. Round your answers to three decimal
places.
Step 5 of 5: Construct the 99% confidence
interval for the slope. Round your answers to three decimal
places.
I got help with steps 1-3 already, if...

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