Answer:
A. the error term has a constant variance
Step-by-step explanation:
Firstly, note that it is observed the residuals increase as the predicted value increases. Now the natural logarithm transformation will change will change a skewed variable into a normal distributed value, which leads to a linear regression between the both variables, since they (the independent and dependent variables) are normal. A key assumption of linear regression is Homoscedasticity, therefore the error term obtains the same finite variance.
So as soon as the transformation is applied, the error term will therefore have a constant variance.
Answer:
Part A: 16x^2 -56x+49
I'm not quite sure on Part B and C though, sorry :/.
Step-by-step explanation:
To find the expression we need to solve (4x-7)•(4x-7)
4x•4x = 16x^2
4x•-7= -28x
-7•4x= -28x
-7•-7=49
Combine alike terms
16x^2-56x+49
Hope this helps! If you have any questions on how I got my answer feel free to ask. Stay safe!
Answer:
Imma say no LOL
Step-by-step explanation:
I said anything cause there's no table?
I think it’s b that’s just my best guess
