<span>0.07x = 4.9 I hope this helps (;</span>
Answer: D) It provides the smallest possible sum for the squares of the residuals.
Step-by-step explanation:
The least square regression line usually employed when fitting linear regression model basically works in other to minimize the sum of square error(residual). The residual or error simply refers to the difference between the actual and predicted value for each point given. The least square regression line can take up different positions between the plotted points, once, depending in the sum of the square of the error values. Hence, the least square regression line will be positioned where the sum of squared error is minimum in other to increase prediction accuracy.
Answer:y=3x+1
Step-by-step explanation:
Answer:
24
Step-by-step explanation:
You're given a side and a hypotenuse in a right triangle, so you're able to use the Pythagorean Theorem.
Now isolate a on one side and solve for a.
