write your answers clearly in 12-pt blue font on the line underneath the problem like this. The following table includes two variables: sleep duration in hours and number of driving errors for 10 different truck drivers. Use the data set to answer the following questions. Sleep Duration (Hours) Driving Errors 0 21 1 19 2 15 3 15 4 14 5 12 6 9 7 7 8 4 9 10 11 5 2 1. Create a scatterplot of sleep duration (x) versus errors (y). Copy and paste the scatterplot as your answer. 2. Fit a linear regression model to sleep duration and driving errors. Copy and paste the Model Summary, ANOVA, and Coefficients table as your answer. 3. What is the value of the correlation coefficient between sleep duration and driving errors? 4. Is the regression analysis statistically significant? What is the test statistic, degrees of freedom, and p-value that supports your answer? 5. State the regression equation. 6. We are 95% confident that the true population slope parameter will fall between which two values? State your answer in interval notation: (a, b). 7. Create a scatterplot with regression line and confidence intervals. Copy and paste it as your answer. 8. What is the predicted number of driving errors for a truck driver that slept 7.5 hours? Show your work.
write your answers clearly in 12-pt blue font on the line underneath the problem like this. The following table includes two variables: sleep duration in hours and number of driving errors for 10 different truck drivers. Use the data set to answer the following questions. Sleep Duration (Hours) Driving Errors 0 21 1 19 2 15 3 15 4 14 5 12 6 9 7 7 8 4 9 10 11 5 2 1. Create a scatterplot of sleep duration (x) versus errors (y). Copy and paste the scatterplot as your answer. 2. Fit a linear regression model to sleep duration and driving errors. Copy and paste the Model Summary, ANOVA, and Coefficients table as your answer. 3. What is the value of the correlation coefficient between sleep duration and driving errors? 4. Is the regression analysis statistically significant? What is the test statistic, degrees of freedom, and p-value that supports your answer? 5. State the regression equation. 6. We are 95% confident that the true population slope parameter will fall between which two values? State your answer in interval notation: (a, b). 7. Create a scatterplot with regression line and confidence intervals. Copy and paste it as your answer. 8. What is the predicted number of driving errors for a truck driver that slept 7.5 hours? Show your work.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:write your answers clearly in 12-pt blue font on the line
underneath the problem like this.
The following table includes two variables: sleep duration in
hours and number of driving errors for 10 different truck drivers.
Use the data set to answer the following questions.
Sleep Duration (Hours) Driving Errors
0
21
1
19
2
15
3
15
4
14
5
12
6
9
7
7
8
4
9
10
11
5
2
1. Create a scatterplot of sleep duration (x) versus errors (y).
Copy and paste the scatterplot as your answer.
2. Fit a linear regression model to sleep duration and driving
errors. Copy and paste the Model Summary, ANOVA, and
Coefficients table as your answer.
3. What is the value of the correlation coefficient between
sleep duration and driving errors?
4. Is the regression analysis statistically significant? What is
the test statistic, degrees of freedom, and p-value that
supports your answer?
5. State the regression equation.
6. We are 95% confident that the true population slope
parameter will fall between which two values? State your
answer in interval notation: (a, b).
7. Create a scatterplot with regression line and confidence
intervals. Copy and paste it as your answer.
8. What is the predicted number of driving errors for a truck
driver that slept 7.5 hours? Show your work.
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