Answer:
A is correct
Step-by-step explanation:
Answer: 527.79
Step-by-step explanation:
since the formula is 2pirhx2pir^2 you would put into the calculator, 2pi7(5)x2pi7^2
Answer:
Squared differences between actual and predicted y
Step-by-step explanation:
The least squares regression method used in predictive modeling for linear regression models produces a best fit line which will minimize the square of the mean difference between the actual and projected or predicted values of the dependent, y variable. Hence, the when the sum of the squared value of the difference between the actual and predicted values (residual) are taken, the fit which gives the minimum sum of squared value is the best fit line upon which the estimated regression equation is based.
Answer:
16.8 is the answer
Step-by-step explanation:
(.40 x 42= 16.8)
It's super simple. Hope this helped!
Answer:
x(x+3)(x-3)
Step-by-step explanation:
Factor out common term x
=x(x^2-9)
Factor x^2-9;
(x+3)(x-3)
=x(x+3)(x-3)
