Multiple Choice
Exhibit 17.3.Consider the regression model, Humidity = β0 + β1Temperature + β2Spring + β3Summer + β4Fall + β5Rain + ε,
Where the dummy variables Spring,Summer,and Fall represent the qualitative variable Season (spring,summer,fall,winter) ,and the dummy variable Rain is defined as Rain = 1 if rainy day,Rain = 0 otherwise.
Refer to Exhibit 17.3.Assuming the same temperature and precipitation condition,what is the difference between the predicted humidity for summer and fall days?
A) b0 + b3 - b4
B) b3 - b4
C) b3 + b4
D) b0 + b4 - b3
Correct Answer:

Verified
Correct Answer:
Verified
Q16: The model y = β<sub>0</sub> + β<sub>1</sub>x
Q45: Exhibit 17.3.Consider the regression model, Humidity =
Q46: Exhibit 17.4.A researcher wants to examine how
Q51: For the model y = β<sub>0</sub> +
Q52: Exhibit 17.2.To examine the differences between salaries
Q53: Exhibit 17.2.To examine the differences between salaries
Q54: Exhibit 17.2.To examine the differences between salaries
Q55: Exhibit 17.4.A researcher wants to examine how
Q76: For the model y = β<sub>0 </sub>+
Q93: A dummy variable is a variable that