Answer: D. minimizes the sum of the squared residuals
Step-by-step explanation: The ordinary least square method is often used in locating the trendine which best fits a graphical linear model. The best is one in which the sum of the squared residual is smallest. The residual refers to the difference between the actual and the predicted points. The sum of the squared differences is obtained and the trend line is positioned where the residual is minimum. Choosing a OLS, and minimizing the sum.of the squared residual, the error difference between the predicted and actual score is minimized or reduced, hence, improving the prediction accuracy of our model.
Answer:
Step-by-step explanation:
see pic below for quotient rule
Answer: 2.2214
Step-by-step explanation:
0.07 x 39.98 = 2.7986 (is tax)
2.7986 + 39.98 = 42.7786
45.00 - 42.7786 = 2.2214
Answer:
She should have multiplied the total of all the choices. 3 choice
Step-by-step explanation: