Student Absences and Grades on the Final ExamDr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. The data can be found in the Excel file Assignment10_R1.xlsx on the Exercise1_Excel_Built-in f. worksheet. Do not use any software that I did not assign.Question 1: Which or the two variables (times absent or grades on the final exam) is the independent variable and which is the dependent variable? Question 2: Using Microsoft Excel: (Excel file Assignment10_R1.xlsx on the Exercise1_Excel_Built-in f.xlsx worksheet)Count the number of XY variables. Calculate the mean and sample standard deviation of both the independent and dependent variables. Calculate the correlation coefficient, r, using Excel’s CORREL function. Explain what it means. Calculate the coefficient of determination, r2, using Excel’s RSQ function. Explain what it means.. ABDFTimesLate/Final Exam1AbsentGradeAnswerFormulal-COUNT(A2:A23)84.0092.502132df=E2-2431646.00Coefficient of Correlation, r=CORREL(B2:B23,C2:C23)93.00 Coefficient of Determination, r?=RSQ(C2:C23,B2:B23)542651195.50Mean of Late/Absent=AVERAGE(B2:B23)762420.00Std. Dev. Of Late Absent=STDEV.S(B2:B23)8.7739.00Mean of Final Exam=AVERAGE(C2:C23)1046.00Std. Dev. Of Final Exam=STDEV.S(C2:C23)1091963.0073.5098.001110212 11213121724.5014 1373.0069.50815 142016 151949.0017 162368.5018 1770.0019 18475.5020 19278.0021 20797.0022 212100.0023 22293.50 AВDEAlpha0.05 givengiven=B2-2|=T.INV.2T(B1,B3)='Exercise1_Excel_Built-In f.'!E4|='Exercise1_Excel_Built-In f.'!E5Vn-2t=3df4CV t52V1-r²6.7=(B5*SQRT(B3))/SQRT(1-B6)=TDIST(ABS(B8), B3,2)8.9p-value10

As per the honor code, we are authorized to answer only 3 subparts for each question and that you haven't specified which of the 3 subparts you want the solutions for, the first 3 subparts are being answered for now. Requesting you to re-upload the question stating the remaining subparts for the answers to them with the required data and previous information needed. Dr V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. sample size : n = 22As more frequently a student is late or absent from class the worse he or she performs on the final exam, therefore, the dependent and independent variables are assigned as: let, Y(dependent variable) : Final Exam grade X(independent variable) :Times late/absent Hence, Final Exam grade is the dependent variable whereas Times late/absent is the dependent variableThe count of the variables is obtained as: Therefore, the count of the variable x & y are both 22 which is the same as the number of sample points considered in the data. The mean and sample standard deviation of both the independent and dependent variables are obtained as: Step1 Step 2 Step 3 Therefore, the mean and standard deviation of X(independent variable) :Times late/absent is 9.681818182 & 7.624436676 respectively.Similarly for Final Exam grade : Therefore, the mean and standard deviation of Y(dependent variable) : Final Exam grade is 70.40909091 & 24.03798401 respectively.

Answered: Student Absences and Grades on the…

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Student Absences and Grades on the Final Exam

Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. The data can be found in the Excel file Assignment10_R1.xlsx on the Exercise1_Excel_Built-in f. worksheet. Do not use any software that I did not assign.

Question 1: Which or the two variables (times absent or grades on the final exam) is the independent variable and which is the dependent variable?

Question 2: Using Microsoft Excel: (Excel file Assignment10_R1.xlsx on the Exercise1_Excel_Built-in f.xlsx worksheet)

Count the number of XY variables.

Calculate the mean and sample standard deviation of both the independent and dependent variables.

Calculate the correlation coefficient, r, using Excel’s CORREL function. Explain what it means.

Calculate the coefficient of determination, r², using Excel’s RSQ function. Explain what it means..

A
B
D
F
Times
Late/
Final Exam
1
Absent
Grade
Answer
Formula
l-COUNT(A2:A23)
84.00
92.50
2
1
3
2
df
=E2-2
4
3
16
46.00
Coefficient of Correlation, r
=CORREL(B2:B23,C2:C23)
93.00 Coefficient of Determination, r?
=RSQ(C2:C23,B2:B23)
5
4
2
6
5
11
95.50
Mean of Late/Absent
=AVERAGE(B2:B23)
7
6
24
20.00
Std. Dev. Of Late Absent
=STDEV.S(B2:B23)
8.
7
7
39.00
Mean of Final Exam
=AVERAGE(C2:C23)
10
46.00
Std. Dev. Of Final Exam
=STDEV.S(C2:C23)
10
9
19
63.00
73.50
98.00
11
10
2
12 11
2
13
12
17
24.50
14 13
73.00
69.50
8
15 14
20
16 15
19
49.00
17 16
23
68.50
18 17
70.00
19 18
4
75.50
20 19
2
78.00
21 20
7
97.00
22 21
2
100.00
23 22
2
93.50

A
В
D
E
Alpha
0.05 given
given
=B2-2
|=T.INV.2T(B1,B3)
='Exercise1_Excel_Built-In f.'!E4
|='Exercise1_Excel_Built-In f.'!E5
Vn-2
t=
3
df
4
CV t
5
2
V1-r²
6.
7
=(B5*SQRT(B3))/SQRT(1-B6)
=TDIST(ABS(B8), B3,2)
8.
9
p-value
10

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