Answer: i think you have to divide. pls dont delete just trying to help because some people ignore!
Step-by-step explanation:
Answer:
And the expected value for a vector of zeros and the covariance matrix is given by:
So we can see that the error terms not have a variance of 0. We can't assume that the errors are assumed to have an increasing mean, and we other property is that the errors are assumed independent and following a normal distribution so then the best option for this case would be:
The regression model assumes the errors are normally distributed.
Step-by-step explanation:
Assuming that we have n observations from a dependent variable Y , given by
And for each observation of Y we have an independent variable X, given by
We can write a linear model on this way:
Where i a matrix for the error random variables, and for this case we can find the error ter like this:
And the expected value for a vector of zeros and the covariance matrix is given by:
So we can see that the error terms not have a variance of 0. We can't assume that the errors are assumed to have an increasing mean, and we other property is that the errors are assumed independent and following a normal distribution so then the best option for this case would be:
The regression model assumes the errors are normally distributed.
Answer:
r > 2
Step-by-step explanation:
9-3 = 6
6/3 = 2
Have a good day :)
Answer: Total Cost = $200
Step-by-step explanation:
Given information
—————————-
Unit Price = $25 / 1 hr
$100 / 4 hr
Total Time = 8 hours
Derived formula from the given information
——————————————————————-
Total Cost = Unit Price × Total Time
Substitute values into the given formula
—————————————————————
Total Cost = (25) × (8)
Simplify by multiplication
—————————————-
Total Cost = $200
Hope this helps!! :)
Please let me know if you have any questions
Answer:
False
Step-by-step explanation: