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. 57 10 9 3. 8. 4 4. 3. incidences 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. What are the slope and the y-intercept of the given data? a. bị b. b, = 10.7009; bo Considering the computed slope and y-intercept, how would you model the equation of the regression line? a. Y = 10.7009X + 0.5735 c. b, = 0.5735; bo =-10.7009 d. b = -10.7009; bo = -0.5735 = -10.7009; bo = 0.5735 %3D = 0.5735 c. Y = 10.7009X- 0.5735 d. Y = -10.7009X-0.5735 5. Y = 0.5735-10.7009 How many fire incidences are there if the average temperature is 33.5 degrees Celsius?

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Answer 10 & 19

b. y= 4.98 +0.425x
d. y
%3D
19. Which of the following gives the best fit of the line for a given data? C
c. y = -1.10 + 9x, r = -0.72
d. y = 100 + 75x, r = 0.50
a. y = 2 + 6.5x, r = 0.65
b. y= 6.05 + 0.825x, r = 0.64
%3D
%3D
Transcribed Image Text:b. y= 4.98 +0.425x d. y %3D 19. Which of the following gives the best fit of the line for a given data? C c. y = -1.10 + 9x, r = -0.72 d. y = 100 + 75x, r = 0.50 a. y = 2 + 6.5x, r = 0.65 b. y= 6.05 + 0.825x, r = 0.64 %3D %3D
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
4.
3.
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?
-10.7009; bo = 0.5735
c. b, = 0.5735; bo =-10.7009
%3D
a. b, =
b. b = 10.7009; bo
%3D
d. b, =-10.7009; bo = -0.5735
%3D
= 0.5735
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
%3D
b. Y = 0.5735- 10.7009
%3D
10. How many fire incidences are there if the average temperature is 33.5 degrees Celsius?
d. 11
b. 9
с. 10
a. 7
hot tine of relation is shown?
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 4. 3. 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? -10.7009; bo = 0.5735 c. b, = 0.5735; bo =-10.7009 %3D a. b, = b. b = 10.7009; bo %3D d. b, =-10.7009; bo = -0.5735 %3D = 0.5735 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 %3D b. Y = 0.5735- 10.7009 %3D 10. How many fire incidences are there if the average temperature is 33.5 degrees Celsius? d. 11 b. 9 с. 10 a. 7 hot tine of relation is shown? 3.
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