Multiple choices 17/50
(Choose 1 answer)
(See picture)
A. Homoscedasticity
B. Normality of errors
C. Independence of errors
D. Linearity of the relationship
Residuals
0
The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars) for individual stores based on the number of customers who made purchases. A random sample of 12 stores yields and residual plot generated as follow.
Customers Residual Plot
0.8
0.6
0.4
0.2
0
-0.2
-0.4
-0.6
-0.8
Next
200
400
600
Customers
The residual plot indicates possible violation of which assumptions?
800
1000
