Hello
A residual<span> is the difference between the observed y-value (from </span>scatter plot<span>) and the predicted y-value (from regression </span>equation<span> line). It is the vertical distance from the actual </span>plotted<span> point to the point on the regression line.
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Have a nice day kid!
Answer:
26
Step-by-step explanation:
4(7-1) +2
4(6) + 2
24+ 2
26
Answer:
x = - 2, x = 3
Step-by-step explanation:
Given
x² - x - 6 = 0
Consider the factors of the constant term (- 6) which sum to give the coefficient of the x- term (- 1)
The factors are + 2 and - 3 , since
2 × - 3 = - 6 and 2 - 3 = - 1 , then
(x + 2)(x - 3) = 0 ← in factored form
Equate each factor to zero and solve for x
x + 2 = 0 ⇒ x = - 2
x - 3 = 0 ⇒ x = 3
Find the area of the square, which has a side length of 2.
Area of square = 2 x 2 = 4
Now multiply the area by the length b
Volume = 4 x 5 = 20 square units total.
Answer:
64.0% is the correct answer.
Step-by-step explanation:
As per the given scatter plot of voter turnout every year:
X axis represents the year and
Y axis represents the percentage of people who voted.
The model was predicted as per the equation:
<u>To find:</u> Prediction for the year 1900.
Putting the value of 
, the value of y will be the predicted value of the model i.e. the value of percentage of voter turnout.
So, the model predicts 
for the year 1900.
