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:
Step-by-step explanation:
x/3 = 14
x = 42
Answer:
Move the decimal 2 places to the right.
Step-by-step explanation:
to turn a decimal to a percentage u x 100 so the decimal point wold move 2 places to the right.
It affects the answer because parentheses signifies or implies that yoy are doing the operation inside of their that step comes first because if you forget about that step and move on it will affect your answer and you will get it wrong write this down
Answer:
Look up the worksheet title on google and then answers. I have done this before and it has helped me. I hope this helps you!!!
Step-by-step explanation:
