Yea his answer is right ^^
Substitute
, so that
. The integral is then equivalent to
Then transforming back to
gives
D would be the most reasonable because the whole set up adds up to 10 and you only have a chance of drawing all of the colors in a row
Answer:
-$11,000 is the economic profit or we can say it is a loss.
Step-by-step explanation:
The job paid Bob = $100000
The insurance cost is = $8,000
The material cost is = $15,000
The lease payments are = $8,000
The sales revenue is $120,000.
So, Bob's economic profit is:
Therefore, his economic profit is -$11000.
Answer:
See explanation below.
Step-by-step explanation:
When we want to fit a linear model given by:
Where y is a vector with the observations of the dependent variable, the parameters of the model and x the vector with the observations of the independent variable.
For this case this population regression function represent the conditional mean of the variable Y with values of X constant. And since is a population regression the parameters are not known, for this reason we use the sample data to obtain the sample regression in order to estimate the parameters of interest
We can use any method in order to estimate the parameters for example least squares minimizing the difference between the fitted and the real observations for the dependenet variable. After we find the estimators for the regression model then we have a model with the estimated parameters like this one:
With
And this model represent the sample regression function, and this equation shows to use the estimated relation between the dependent and the independent variable.