complete manual computation. (a) Draw the scatter plot. (b) Compute the value of the correlation coefficient. (c) Test the significance of the correlation coefficient at a=0.05. (d) Determine the regression line equation if r is significant. (e) Plot the regression line on the scatter plot if appropriate. (f) Predicty for a specific value of x if appropriate. regression analysis =. researcher desires to know if the age of a child is related to the number of cavities he or she has. The data are showr here. If there is a significant relationship, predict the number of cavities for a child of 11. 10 4 Age of child, x No. of Cavities, y 6 2 8 1 9 3 12 6 14 5
complete manual computation. (a) Draw the scatter plot. (b) Compute the value of the correlation coefficient. (c) Test the significance of the correlation coefficient at a=0.05. (d) Determine the regression line equation if r is significant. (e) Plot the regression line on the scatter plot if appropriate. (f) Predicty for a specific value of x if appropriate. regression analysis =. researcher desires to know if the age of a child is related to the number of cavities he or she has. The data are showr here. If there is a significant relationship, predict the number of cavities for a child of 11. 10 4 Age of child, x No. of Cavities, y 6 2 8 1 9 3 12 6 14 5
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
Please answer each item with the following
![complete manual computation.
(a) Draw the scatter plot.
(b) Compute the value of the correlation coefficient.
(c) Test the significance of the correlation coefficient at a=0.05.
(d) Determine the regression line equation if r is significant.
(e) Plot the regression line on the scatter plot if appropriate.
(f) Predicty for a specific value of x if appropriate. regression analysis
3. researcher desires to know if the age of a child is related to the number of cavities he or she has. The data are shown
here. If there is a significant relationship, predict the number of cavities for a child of 11.
Age of child, x
10
No. of Cavities, y
4
6
2
Fat per grams, x
Cholesterol level, y
8
1
9
3
8.2
193
4. A study is conducted with a group of dieters to see if the number of grams of fat each consumes per day is related to
cholesterol level. The data are shown here. If there is a significant relationship, predict the cholesterol level of a dieter
who consumes 8.5 grams of fat per day.
6.8
5.5
183
201
10
283
12
6
8.6
222
14
5
9.1
250
8.6
190
10.4
218](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F94519a40-e312-41b7-b285-e2de4f9c0715%2F18394414-667a-4498-a5c4-ffe84a9c69ff%2Fbylx09s_processed.jpeg&w=3840&q=75)
Transcribed Image Text:complete manual computation.
(a) Draw the scatter plot.
(b) Compute the value of the correlation coefficient.
(c) Test the significance of the correlation coefficient at a=0.05.
(d) Determine the regression line equation if r is significant.
(e) Plot the regression line on the scatter plot if appropriate.
(f) Predicty for a specific value of x if appropriate. regression analysis
3. researcher desires to know if the age of a child is related to the number of cavities he or she has. The data are shown
here. If there is a significant relationship, predict the number of cavities for a child of 11.
Age of child, x
10
No. of Cavities, y
4
6
2
Fat per grams, x
Cholesterol level, y
8
1
9
3
8.2
193
4. A study is conducted with a group of dieters to see if the number of grams of fat each consumes per day is related to
cholesterol level. The data are shown here. If there is a significant relationship, predict the cholesterol level of a dieter
who consumes 8.5 grams of fat per day.
6.8
5.5
183
201
10
283
12
6
8.6
222
14
5
9.1
250
8.6
190
10.4
218
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