Question

Here’s another question that I really need help with. Please answer it where I can understand. Thank you !

Problem V (15pts) Assume that in a specific project, we tend to study the effect of hydrocarbon consumption, running, walking, biking, gender, and age on weight loss. Discuss about the scientific methods you would use to see the effect of these factors (hint: do you need to find mean, median, variance, etc.? why are they needed? How about IQR? Please include all the steps including hypothesis that you should check and how you should design your experiment. What are the outcomes? What are the events if you want to define any?

Answer 1

ANSWER:-

We know that regression equation for this data,

$Yi=\beta 1X1i+\beta 2X2i+\beta 3X3i+\beta 4X4i+\beta 5X5i+\beta 6X6i+\epsilon i$

$Where,$

$Y,X1,X2,X3,X4,X5,X6$$are$$Weightloss$,$Hydrocarbonconsumption$,$Running,Walking,Biking,Gender,Age$  $respectively$.

$Null Hypothesis$$H0:\beta 1=\beta 2=..........\beta 6=0$.

$Alternative hypothesis$  $Ha:\beta 1=\beta 2=..........\beta 6\neq 0$

It is trailed by ANOVA test and utilizing F test we consider test the hypothesis.The occasion is Y.

Here, we require mean middle model to check whether these factor truly influence on weight loss.But utilizing ANOVA we can test the relapse condition which notice above.