Figure 1 is transformed to Figure 3, as shown in the diagram. Describe the transformation. A) dilation, then reflection B) refle
ction, then rotation C) rotation, then reflection D) translation, then rotation
2 answers:
Answer:
The correct answer is C. Rotation, then reflection
Step-by-step explanation:
in the diagram 2, 3 are facing left and 14 should be facing right so if you rotate 1 and make it face left instead of right you get your answer
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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.