We would like to determine how a person's cholesterol level can be predicted by his or her fat consumption. The average daily fat consumption (in mg) and the cholesterol levels for a sample of eight individuals are shown below: Individual Fat Consumption Cholesterol Level a. 7.587 O b. 16.48 What is the value of residual for Individual 2? OC -16.48 O d. e. 7 3941 5095 8729 10115 7747 9623 4517 184 207 216 270 205 254 175 -190.52 2 190.52 B The least squares regression line for predicting cholesterol level from fat consumption is: Predicted cholesterol level = 129.38 +0.012xFat consumption 4 5 UG 6 8 8220 230

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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We would like to determine how a person's cholesterol level can be predicted by his or her fat
consumption. The average daily fat consumption (in mg) and the cholesterol levels for a sample
of eight individuals are shown below:
Individual
Fat Consumption
Cholesterol Level
Oa. 7.587
O b. 16.48
O C. -16.48
What is the value of residual for Individual 2?
O d. -190.52
3
3941
5095 8729
184 207 216
e.
1
190.52
2
=
4
5
10115 7747
The least squares regression line for predicting cholesterol level from fat consumption is:
Predicted cholesterol level
129.38 +0.012xFat consumption
16
7
9623 4517
205 254 175
270
6
8
8220
230
Transcribed Image Text:We would like to determine how a person's cholesterol level can be predicted by his or her fat consumption. The average daily fat consumption (in mg) and the cholesterol levels for a sample of eight individuals are shown below: Individual Fat Consumption Cholesterol Level Oa. 7.587 O b. 16.48 O C. -16.48 What is the value of residual for Individual 2? O d. -190.52 3 3941 5095 8729 184 207 216 e. 1 190.52 2 = 4 5 10115 7747 The least squares regression line for predicting cholesterol level from fat consumption is: Predicted cholesterol level 129.38 +0.012xFat consumption 16 7 9623 4517 205 254 175 270 6 8 8220 230
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