Dependent variable is Calories R-squared = 93.2% s = 63.73 1200 1000- Variable Coefficient SE 800 Intercept 12.7234 43.910 600 Fat 21.2171 1.5944 400 200 10 20 30 40 50 Fat Calories

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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Chicken Chicken sandwiches are often advertised
as a healthier alternative to beef because many are
lower in fat. Data from tests on 15 different sand-
wiches randomly selected from the website http://
fast-food-nutrition.findthebest.com/d/a/Chicken-
Sandwich produced the Calories vs. Fat scatterplot
and the regression analysis below.
a) Do you think a linear model is appropriate in this
situation?
b) Describe the strength of this association.
c) Write the equation of the regression line to estimate
calories from the fat content.
d) Explain the meaning of the slope.
e) Explain the meaning of the y-intercept.
f) What does it mean if a certain sandwich has a nega-
tive residual?
Dependent variable is Calories
R-squared = 93.2%
s = 63.73
1200
1000-
Variable Coefficient SE
800
Intercept 12.7234
43.910
600
Fat
21.2171
1.5944
400
200
10
20
30
40
50
Fat
Calories
Transcribed Image Text:Dependent variable is Calories R-squared = 93.2% s = 63.73 1200 1000- Variable Coefficient SE 800 Intercept 12.7234 43.910 600 Fat 21.2171 1.5944 400 200 10 20 30 40 50 Fat Calories
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