Part 2: Do an estimate of a linear regression model relating current grade weighted average of students to their gender, available internet speed (mbps) and previous grade weighted average (Take note: 1 - male, o - female). c. Interpret the slope coefficients (discuss their values and statistical significance) d. Are the coefficients jointly statistically significant? Explain your answer. e. How much of the variability of the current grade weighted average is explained by the variability of the model?
Part 2: Do an estimate of a linear regression model relating current grade weighted average of students to their gender, available internet speed (mbps) and previous grade weighted average (Take note: 1 - male, o - female). c. Interpret the slope coefficients (discuss their values and statistical significance) d. Are the coefficients jointly statistically significant? Explain your answer. e. How much of the variability of the current grade weighted average is explained by the variability of the model?
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 5SE: The union of two sets is defined as a set of elements that are present in at least one of the sets....
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Please answer Part 2: c, d and e
Transcribed Image Text:Obs
Gender
Internet
Previous
Current
Speed
(MBPS)
grade
weighted
grade
weighted
average
average
1
1
10
3.4
2.6
1
20
3.575
3.148
1
100
3.46
3.36
4
21.36
3.25
2.748
16.52
3.25
2.966
6
1
94
3.083
2.449
7
39.17
3.3647
3.382
8
1
133.55
2.75
2.76
9
1
191
2.8
2.909
10
27.21
3.833
3.214
11
1
117.72
2.3
2.115
12
49.74
3.93
3.68
13
19.18
3.464
3.4
14
38.57
3-75
3.098
15
1
35.42
3-55
3.34
16
63.95
3.6
3.8
17
27.26
3.5
3-7
18
1
99.4
3.375
3-375
19
39.98
3-55
3.682
20
1
3.6
3.284
3.
Transcribed Image Text:Part 1: Do an estimate of a linear regression model relating grades of students to their
gender (Take note: 1 - male, o - female).
a. Interpret the value of the slope coefficients for gender.
b. Is it statistically significant at the 99% level of significance?
Part 2: Do an estimate of a linear regression model relating current grade weighted
average of students to their gender, available internet speed (mbps) and previous grade
weighted average (Take note: 1 - male, o - female).
c. Interpret the slope coefficients (discuss their values and statistical significance)
d. Are the coefficients jointly statistically significant? Explain your answer.
e. How much of the variability of the current grade weighted average is explained by the
variability of the model?
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