A. The average age of bank managers is 40 years. Assume that the variable is normally distributed. If the standard deviation is 5 years, find the probability that the age of a randomly selected bank manager will be in the range between 35 and 46 years old. B. A rate analyst for LEYECO was asked to determine if there is a linear relationship between electricity consumption and the number of rooms in a single-family dwelling. Since electricity consumption varies from month to month, he decided to study usage during the month of March. He collected the following data. 10 87 1 5 4 3.5 14 7 4 12 3 2 No. of 3 3 6 Rooms (x) Kilowatts- 1.5 hours (y) 1. Determine the regression equation. 2. Plot the regression line. 3. Interpret the result. Acti Go to 1.

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Assessment
A. The average age of bank managers is 40 years. Assume that the
variable is normally distributed. If the standard deviation is 5 years,
find the probability that the age of a randomly selected bank manager
will be in the range between 35 and 46 years old.
B. A rate analyst for LEYECO was asked to determine if there is a linear
relationship between electricity consumption and the number of
rooms in a single-family dwelling. Since electricity consumption
varies from month to month, he decided to study usage during the
month of March. He collected the following data.
No.
Rooms (x)
10 7 11
of
11 5
4
3 3
6
Kilowatts-
3.5 14
7
4
12
1
1.5
hours (y)
1. Determine the regression equation.
2. Plot the regression line.
3. Interpret the result.
Activate
Go to PC
2.
3.
Transcribed Image Text:Assessment A. The average age of bank managers is 40 years. Assume that the variable is normally distributed. If the standard deviation is 5 years, find the probability that the age of a randomly selected bank manager will be in the range between 35 and 46 years old. B. A rate analyst for LEYECO was asked to determine if there is a linear relationship between electricity consumption and the number of rooms in a single-family dwelling. Since electricity consumption varies from month to month, he decided to study usage during the month of March. He collected the following data. No. Rooms (x) 10 7 11 of 11 5 4 3 3 6 Kilowatts- 3.5 14 7 4 12 1 1.5 hours (y) 1. Determine the regression equation. 2. Plot the regression line. 3. Interpret the result. Activate Go to PC 2. 3.
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