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
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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
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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