Related questions
|
Gender |
Alcohol |
Exercise |
SQI |
GPA |
|
Male |
Yes |
9 |
15.5 |
3.85 |
|
Male |
Yes |
11 |
11.0 |
5.46 |
|
Female |
No |
5 |
11.1 |
3.28 |
|
Female |
No |
6 |
13.9 |
2.37 |
|
Female |
Yes |
8 |
9.9 |
4.63 |
|
Male |
Yes |
11 |
14.5 |
4.58 |
|
Male |
Yes |
9 |
10.6 |
4.96 |
|
Male |
Yes |
11 |
15.1 |
1.02 |
|
Female |
No |
8 |
12.4 |
4.33 |
|
Female |
Yes |
10 |
11.5 |
3.96 |
|
Male |
No |
8 |
10.6 |
5.83 |
|
Male |
Yes |
7 |
11.5 |
6.12 |
|
Male |
Yes |
10 |
10.8 |
2.20 |
|
Male |
Yes |
11 |
12.5 |
2.93 |
|
Male |
Yes |
9 |
16.4 |
4.52 |
|
Female |
Yes |
2 |
14.1 |
4.50 |
|
Male |
Yes |
8 |
15.3 |
1.63 |
|
Female |
No |
6 |
18.0 |
3.09 |
|
Female |
No |
5 |
9.7 |
3.92 |
|
Male |
Yes |
11 |
10.5 |
3.10 |
|
Female |
No |
8 |
13.7 |
5.42 |
|
Male |
Yes |
8 |
14.9 |
2.03 |
|
Female |
No |
7 |
10.9 |
5.90 |
|
Male |
No |
10 |
14.5 |
3.25 |
|
Male |
Yes |
7 |
11.5 |
5.21 |
|
Female |
No |
9 |
11.3 |
3.31 |
|
Male |
Yes |
9 |
11.6 |
2.51 |
|
Male |
No |
10 |
15.6 |
3.88 |
|
Male |
Yes |
10 |
12.3 |
4.33 |
|
Male |
Yes |
11 |
12.2 |
4.49 |
|
Female |
No |
6 |
15.6 |
4.16 |
|
Male |
Yes |
11 |
11.0 |
4.99 |
|
Male |
Yes |
11 |
13.5 |
5.76 |
|
Female |
No |
7 |
11.0 |
3.54 |
|
Female |
Yes |
6 |
8.1 |
4.23 |
|
Male |
Yes |
8 |
17.6 |
3.66 |
|
Male |
Yes |
9 |
9.1 |
6.02 |
|
Male |
Yes |
12 |
13.5 |
3.56 |
|
Male |
Yes |
10 |
18.8 |
3.79 |
|
Female |
No |
8 |
12.8 |
4.59 |
|
Male |
Yes |
8 |
15.4 |
3.20 |
|
Male |
Yes |
9 |
12.6 |
0.98 |
|
Male |
Yes |
8 |
15.8 |
3.43 |
|
Male |
Yes |
8 |
14.2 |
5.68 |
|
Female |
No |
9 |
14.1 |
4.55 |
|
Female |
No |
6 |
14.7 |
3.16 |
|
Female |
No |
7 |
14.6 |
5.41 |
|
Female |
No |
4 |
10.1 |
4.31 |
|
Female |
Yes |
12 |
10.4 |
1.85 |
|
Female |
No |
7 |
11.2 |
3.87 |
|
Male |
Yes |
10 |
11.9 |
2.75 |
|
Male |
Yes |
10 |
8.2 |
6.77 |
|
Male |
Yes |
12 |
17.5 |
5.68 |
|
Male |
Yes |
11 |
8.4 |
5.26 |
|
Female |
No |
10 |
16.1 |
3.85 |
|
Male |
No |
7 |
13.4 |
6.07 |
|
Male |
Yes |
10 |
11.2 |
6.15 |
|
Male |
Yes |
10 |
17.5 |
4.75 |
A study investigated the impact of sleep deprivation on academic performance in university medical students. An individual's sleep habit was measured using a sleep quality index. A higher index number indicates poorer sleep quality. Academic performance was measured by the student's cumulative grade point average. In addition, the student's physical activity, as measured by the average time for exercise per week, and their behavioural risk factors such as alcohol use, smoking habit and coffee use were recoded.
The data contains the following variables:
GenderGender of the student (Male/Female)
Alcohol Whether the student drinks alcoholic beverages (Yes/No)
ExerciseAverage hours of exercise per week
SQISleep Quality Index (a higher index number indicates poorer sleep quality)
GPACumulative Grade Point Average
The association between academic performance and sleep quality may be obscured by the students' engagement in physical activity and behavioural risk factors. Assuming there are no interactions, fit a multiple regression model for academic performance using sleep quality, exercise and alcohol usage as predictors. The estimated coefficient for the variable Exercise in this model is
-0.0192
-0.0142
-0.0070
0.0035
Question 11
In the fitted regression model in Question 10, the degrees of freedom used to test the statistical significance of the population parameter corresponding to the variable Exercise is
50
54
55
57
Step by stepSolved in 2 steps with 3 images
- Source Value Std_Err Intercept 101994.90 5224.233 19.523 t P_value <0.0001 Female -24711.92 7127.380 -3.467 0.001 Children 11815.69 2649.253 4.460 <0.0001 FemalexChildren -14029.03 3792.992 -3.699 <0.0001 In an attempt to see the difference in the impact an extra child in the house hold has on married females income vs married males income for someone with a Masters Degree a researcher ran the regression shown above. The variable Children is the number of own children in the household. a. What kind of term is the FemalexChildren variable? A. Difference in Mean B. Difference in Difference C. Quadratic D. Difference in Slope E. Nonlineararrow_forwardT-Distribution Intervals The fuel economy sticker on a new SUV’s window sticker indicates the owner can expect 16 mpg in city driving, 20 mpg highway driving and 18 mpg overall. Accurate gasoline records for one such vehicle were kept, and a random sample of mileage per tank for 50 fill-ups of gasoline was collected: 17.6 17.7 18.1 22.0 17.0 19.4 18.9 17.4 21.0 19.2 18.3 19.1 20.7 16.7 19.4 18.2 18.4 17.1 17.4 15.8 17.9 18.0 16.3 17.5 17.3 20.4 19.1 21.0 18.1 19.0 19.6 18.9 16.8 18.2 17.6 19.1 18.0 16.8 20.9 17.9 17.7 20.3 18.6 19.0 16.5 19.4 18.6 18.6 17.3 18.7 Can we consider the data to be normally distributed? Explain. Calculate the sample mean and standard deviation for this data. Round your answers to three decimal places. Calculate a 99% confidence…arrow_forward203 / 234 100% 1. A random sample of Californians has a mean age of 34.4, but you want to know the mean age of all Californians. It like you want to generalize from a a. population; sample; descriptive statistics b. statistic; parameter; sampling error C. central tendency measure; variability measure; random selection d. sample; population; operational definitions to a and therefore you need to worry about 2. Which one sounds like an example of the experimental method? Looking for a relationship between education and income by doing a survey asking about both education and inc Researching whether aggression and violent media consumption are related by asking kids about their violent me consumption and asking their teachers about their aggression Putting people in three different temperature rooms to see if temperature affects productivity a. b. с. d. None of the above 3. What is the value of E(X2 + 2) for the following scores? Scores: 7, 10, 12, 5, 8, 9, 5, 6 a. 624 b. 526 C. 540 d.…arrow_forward
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