Solved

Consider the Following Regression Model: Humidity = β0 + β1Temperature

Question 44

Multiple Choice

Consider the following 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.
What is the regression equation for the winter days?


A) Consider the following regression model: Humidity = β<sub>0</sub> + β<sub>1</sub>Temperature + β<sub>2</sub>Spring + β<sub>3</sub>Summer + β<sub>4</sub>Fall + β<sub>5</sub>Rain + 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. What is the regression equation for the winter days? A) = (b<sub>0 </sub>+ b<sub>3</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain B) = (b<sub>0 </sub>+ b<sub>2</sub> + b<sub>3</sub> + b<sub>4</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain C) = b<sub>0 </sub>+ b<sub>1</sub>Temperature + b<sub>5</sub>Rain D) = (b<sub>0 </sub>+ b<sub>5</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain = (b0 + b3) + b1Temperature + b5Rain
B) Consider the following regression model: Humidity = β<sub>0</sub> + β<sub>1</sub>Temperature + β<sub>2</sub>Spring + β<sub>3</sub>Summer + β<sub>4</sub>Fall + β<sub>5</sub>Rain + 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. What is the regression equation for the winter days? A) = (b<sub>0 </sub>+ b<sub>3</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain B) = (b<sub>0 </sub>+ b<sub>2</sub> + b<sub>3</sub> + b<sub>4</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain C) = b<sub>0 </sub>+ b<sub>1</sub>Temperature + b<sub>5</sub>Rain D) = (b<sub>0 </sub>+ b<sub>5</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain = (b0 + b2 + b3 + b4) + b1Temperature + b5Rain
C) Consider the following regression model: Humidity = β<sub>0</sub> + β<sub>1</sub>Temperature + β<sub>2</sub>Spring + β<sub>3</sub>Summer + β<sub>4</sub>Fall + β<sub>5</sub>Rain + 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. What is the regression equation for the winter days? A) = (b<sub>0 </sub>+ b<sub>3</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain B) = (b<sub>0 </sub>+ b<sub>2</sub> + b<sub>3</sub> + b<sub>4</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain C) = b<sub>0 </sub>+ b<sub>1</sub>Temperature + b<sub>5</sub>Rain D) = (b<sub>0 </sub>+ b<sub>5</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain = b0 + b1Temperature + b5Rain
D) Consider the following regression model: Humidity = β<sub>0</sub> + β<sub>1</sub>Temperature + β<sub>2</sub>Spring + β<sub>3</sub>Summer + β<sub>4</sub>Fall + β<sub>5</sub>Rain + 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. What is the regression equation for the winter days? A) = (b<sub>0 </sub>+ b<sub>3</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain B) = (b<sub>0 </sub>+ b<sub>2</sub> + b<sub>3</sub> + b<sub>4</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain C) = b<sub>0 </sub>+ b<sub>1</sub>Temperature + b<sub>5</sub>Rain D) = (b<sub>0 </sub>+ b<sub>5</sub>) + b<sub>1</sub>Temperature + b<sub>5</sub>Rain = (b0 + b5) + b1Temperature + b5Rain

Correct Answer:

verifed

Verified

Unlock this answer now
Get Access to more Verified Answers free of charge

Related Questions

Q39: To examine the differences between salaries of

Q40: A realtor wants to predict and compare

Q41: An over-the-counter drug manufacturer wants to examine

Q42: Consider the following regression model: Humidity =

Q43: A medical researcher is interested in assessing

Q45: Which of the following is an estimated

Q46: A researcher wants to examine how the

Q47: For the model y = β<sub>0 </sub>+

Q48: A bank manager is interested in assigning

Q49: A bank manager is interested in assigning