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Question: Consumer behavior while waiting in line. The Journal of Consumer Research (November 2003) published a study of consumer behavior while waiting in a queue. A sample of n = 148 college students was asked to imagine that they were waiting in line at a post office to mail a package and that the estimated waiting time is 10 minutes or less. After a 10-minute wait, students were asked about their level of negative feelings (annoyed, anxious) on a scale of 1 (strongly disagree) to 9 (strongly agree). Before answering, however, the students were informed about how many people were ahead of them and behind them in the line. The researchers used regression to relate negative feelings score (y) to number ahead in line (x1) and number behind in line (x2).

a.The researchers fit an interaction model to the data. Write the hypothesized equation of this model.

b. In the words of the problem, explain what it means to say that 鈥渪1 and x2 interact to affect y.鈥

c. A t-test for the interaction 尾 in the model resulted in a p-value greater than 0.25. Interpret this result.

d. From their analysis, the researchers concluded that 鈥渢he greater the number of people ahead, the higher the negative feeling score鈥 and 鈥渢he greater the number of people behind, the lower the negative feeling score.鈥 Use this information to determine the signs of 尾1 and 尾2 in the model.

Short Answer

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Answer

a) The interaction model equation for negative feelings score (y) to number of people ahead in line (x1) and number behind in line (x2) can be written asy=0+1x1+2x2+3x1x2.

b) 鈥渪1 and x2 interact to affect y鈥 means that number of people ahead in line (x1) and number behind in line (x2) are related to each other and collectively affect y. Changes in one variable affects the other and they collectively affect y.

c) 尾3 in the model is not equal to zero and indicates that there is interaction amongst x1 颅and x2.

d)鈥淭he greater the number of people ahead, the higher the negative feeling score鈥 and 鈥渢he greater the number of people behind, the lower the negative feeling score鈥 indicate that 尾1 will have a positive sign as x1 and y are positively related while 尾2 will have a negative sign as x2 and y are inversely related.

Step by step solution

01

Interaction model equation

The interaction model equation for negative feelings score (y) to number of people ahead in line (x1) and number behind in line (x2) can be written asy=0+1x1+2x2+3x1x2.

02

Interaction term

鈥渪1 and x2 interact to affect y鈥 means that number of people ahead in line (x1) and number behind in line (x2) are related to each other and collectively affect y. Changes in one variable affects the other and they collectively affect y.

03

p-value interpretation

T-test for the interaction 尾 in the model resulted in a p-value greater than 0.25. t-test H0 is rejected when p-value < 伪. Here let us assume 伪 of 0.05. since p-value > 0.025 is greater than 0.05, there is sufficient evidence to reject H0.

Therefore, 尾3 in the model is not equal to zero and indicates that there is interaction amongst x1 颅and x2.

04

Signs of β

鈥淭he greater the number of people ahead, the higher the negative feeling score鈥 and 鈥渢he greater the number of people behind, the lower the negative feeling score鈥 indicate that 尾1 will have a positive sign as x1 and y are positively related while 尾2 will have a negative sign as x2 and y are inversely related.

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