Complete Question:
Attached below as picture.
Answer:
From first graph there is no linear pattern so here linearity assumption violated.
From second graph there is observation is in some pattern like funnel or v shape so there is no constant variance occur that is there is no constant variance for error.
Constant variance for error occur when in residual plot all observation are in scatter everywhere.
From third graph we can say there is positive distribution but for regression analysis we need symmetric that is normal distribution.
Step-by-step explanation:
See graphs attached below.
Answer:
I think it's figure b
Step-by-step explanation:
1,200(1.039)^.66666
1200(<span>1.02583386437)
$1231.00
</span>
Answer:
I'm late but the answer is 416 cm
Step-by-step explanation:
If every cm of the model car equals 32 centimeters of the actual car, you would just multiply 13 by 32 and get 416