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Instruction 13.32 One of the Most Common Questions of Prospective House Buyers

question 32

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Instruction 13.32
One of the most common questions of prospective house buyers pertains to the average cost of heating in dollars (Y) .
To provide its customers with information on that matter, a large real estate firm used the following four variables to predict heating costs: the daily minimum outside temperature in degrees of Celsius (X1) , the amount of insulation in cm (X2) , the number of windows in the house (X3) and the age of the furnace in years (X4) . Given below are the Microsoft Excel outputs of two regression models.
Instruction 13.32 One of the most common questions of prospective house buyers pertains to the average cost of heating in dollars (Y) . To provide its customers with information on that matter, a large real estate firm used the following four variables to predict heating costs: the daily minimum outside temperature in degrees of Celsius (X<sub>1</sub>) , the amount of insulation in cm (X<sub>2</sub>) , the number of windows in the house (X<sub>3</sub>) and the age of the furnace in years (X<sub>4</sub>) . Given below are the Microsoft Excel outputs of two regression models. -Referring to Instruction 13.32,what is the 90% confidence interval for the expected change in heating costs as a result of a 1 degree Celsius change in the daily minimum outside temperature using Model 1? A) [6.24, 2.78] B) [2.37, 15.12] C) [5.94, 3.08] D) [6.58, 3.65] Instruction 13.32 One of the most common questions of prospective house buyers pertains to the average cost of heating in dollars (Y) . To provide its customers with information on that matter, a large real estate firm used the following four variables to predict heating costs: the daily minimum outside temperature in degrees of Celsius (X<sub>1</sub>) , the amount of insulation in cm (X<sub>2</sub>) , the number of windows in the house (X<sub>3</sub>) and the age of the furnace in years (X<sub>4</sub>) . Given below are the Microsoft Excel outputs of two regression models. -Referring to Instruction 13.32,what is the 90% confidence interval for the expected change in heating costs as a result of a 1 degree Celsius change in the daily minimum outside temperature using Model 1? A) [6.24, 2.78] B) [2.37, 15.12] C) [5.94, 3.08] D) [6.58, 3.65]
-Referring to Instruction 13.32,what is the 90% confidence interval for the expected change in heating costs as a result of a 1 degree Celsius change in the daily minimum outside temperature using Model 1?

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