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:
Hey there!
-6 ft is 6 ft below sea level.
Hope this helps :)
Step-by-step explanation:
8k -2z = 16
to solve for k let's add 2z both sides
8k = 16+2z
divide both sides of the equation by 8
8k/8= 16+2z/8
k= 16+2Z /8
Answer:
This may well be you! No matter where you are on the road to being a critical thinker, you can always more fully develop and finely tune your skills. Doing so will help you develop more balanced arguments, express yourself clearly, read critically, and glean important information efficiently.
Step-by-step explanation:
Answer:
12 shirts
Step-by-step explanation:
If a T-Shirt Launcher can launch 6 shirts in 30 minutes, that means it can launch 12 shirts in an hour, because there are 60 minutes in a hour, and 30 minutes is half os 60 minutes, so we just do 6 x 2 = 12.
