7. What is the dependent and independent valiabie Baseu on the a. Independent variable: Number of Fire incidences; Dependent variable: Temperature b. Independent variable: Temperature; Dependent variable: Number of Fire Incidences c. Independent variable: number of task force; Dependent variable: Number of Fire Incidences d. Independent variable: Number of Fire Incidences; dependent variable: Number of Task Force. 8. What are the slope and the y-intercept of the given data? a. b, = -10.7009; bo b. b 10.7009; bo c. b, = 0.5735; bo = -10.7009 d. b = -10.7009; bo =-0.5735 = 0.5735 %3D = 0.5735 9. Considering the computed slope and y-intercept, how would you model the equation of the regression line? O 0 a. Y = 10.7009X + 0.5735 c. Y = 10.7009X - 0.5735 b. Y = 0.5735-10.7009 d. Y = -10.7009X-0.5735

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Chapter1: Starting With Matlab
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Answer 7, 8, 9

For numbers 7 to 10, refer to the given situation. A board member of the Fire Prevention
Task Force gathered the following information showing the average temperature in a
month and the number of fire incidence in a certain city last year.
Temperature in degree 26 27 30 32 34 36 29 28 26.5 25 26.7 24
Celsius
Number of Fire
4 5 5 7 10 9 8 7 4
3 4
incidences
7. What is the dependent and independent variable based on the problem?
a. Independent variable: Number of Fire incidences; Dependent variable: Temperature
b. Independent variable: Temperature; Dependent variable: Number of Fire Incidences
c. Independent variable: number of task force; Dependent variable: Number of Fire
Incidences
d. Independent variable: Number of Fire Incidences; dependent variable: Number of Task
Force.
8. What are the slope and the y-intercept of the given data?
a. b, =-10.7009; bo = 0.5735
b. b, = 10.7009; bo
c. b = 0.5735; bo = -10.7009
d. b =-10.7009; bo = -0.5735
%3D
%3D
= 0.5735
%3D
%3D
9. Considering the computed slope and y-intercept, how would you model the equation of the
regression line? O.
a. Y = 10.7009X + 0.5735
c. Y = 10.7009X-0.5735
%3D
d. Y = -10.7009X - 0.5735
b. Y = 0.5735-10.7009
%3D
U
3.
Transcribed Image Text:For numbers 7 to 10, refer to the given situation. A board member of the Fire Prevention Task Force gathered the following information showing the average temperature in a month and the number of fire incidence in a certain city last year. Temperature in degree 26 27 30 32 34 36 29 28 26.5 25 26.7 24 Celsius Number of Fire 4 5 5 7 10 9 8 7 4 3 4 incidences 7. What is the dependent and independent variable based on the problem? a. Independent variable: Number of Fire incidences; Dependent variable: Temperature b. Independent variable: Temperature; Dependent variable: Number of Fire Incidences c. Independent variable: number of task force; Dependent variable: Number of Fire Incidences d. Independent variable: Number of Fire Incidences; dependent variable: Number of Task Force. 8. What are the slope and the y-intercept of the given data? a. b, =-10.7009; bo = 0.5735 b. b, = 10.7009; bo c. b = 0.5735; bo = -10.7009 d. b =-10.7009; bo = -0.5735 %3D %3D = 0.5735 %3D %3D 9. Considering the computed slope and y-intercept, how would you model the equation of the regression line? O. a. Y = 10.7009X + 0.5735 c. Y = 10.7009X-0.5735 %3D d. Y = -10.7009X - 0.5735 b. Y = 0.5735-10.7009 %3D U 3.
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