about 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. ас Temperature in degree 26 27 30 32 34 36 29 28 26.5 25 26.7 24 Celsius Number of Fire 4. 7. 10 9 8. 4. 3 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? a. b =-10.7009; bo b. b = 10.7009; bo = 0.5735 9. Considering the computed slope and y-intercept, how would you model the equation of the = 0.5735 c. b, = 0.5735; bo =-1v.9 %3D d. b, = -10.7009; bo = -0.5735 %3D regression line? a. Y = 10.7009X + 0.5735 c. Y = 10.7009X- 0.5735 b. Y = 0.5735-10.7009 d. Y = -10.7009X -0.5735 if the average temperature is 33.5 degrees Celsius?

about 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. ас Temperature in degree 26 27 30 32 34 36 29 28 26.5 25 26.7 24 Celsius Number of Fire 4. 7. 10 9 8. 4. 3 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? a. b =-10.7009; bo b. b = 10.7009; bo = 0.5735 9. Considering the computed slope and y-intercept, how would you model the equation of the = 0.5735 c. b, = 0.5735; bo =-1v.9 %3D d. b, = -10.7009; bo = -0.5735 %3D regression line? a. Y = 10.7009X + 0.5735 c. Y = 10.7009X- 0.5735 b. Y = 0.5735-10.7009 d. Y = -10.7009X -0.5735 if the average temperature is 33.5 degrees Celsius?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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