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:
94
Step-by-step explanation:
Do parentheses first, exponents inside them first. 4^2 = 16, + 1 is 17, then multiply by the 3 outside to get 51, then multiply by the 2 outside that to get 102, - 2^3 which is -8 = 94
Answer:D
Step-by-step explanation:
.708333... so about .71
14+23+14=51
51 divided by 72=~.71
0.5 because if you divide 3 and 6 yards it’s equal to 0.5yards. You divide the yard and the friends because they are sharing three yards. So, each friend gets 0.5 yard each.