Answer:
16 pints
Step-by-step explanation:
Answer:
C. heteroscedasticity
Step-by-step explanation:
The OLS regression assumption of error variance being constant irrespective of independent variables, is called Homoscedasticity.
Var (u | x) = σ^2 (u) ;
where u = error term, x = independent variable, σ^2 (u) = constant error variance
The violance of this assumption ie Var (u | x) is related to independent variable x, is called Heteroscedasticity.
Based on the absolute deviations and the predicted values, the sum of absolute deviations will be <u>4.8.</u>
<h3>What would be the sum of absolute deviations from predicted values?</h3>
This can be found as:
= ∑ (Observed value - Predicted value)
The observed values are given in the table and the predicted values will be calculated using y = 3.6x - 0.4.
Solving gives:
= [3 - (3.6 x 1 - 0.4)] + [7 - (3.6 x 2 - 0.4)] + [ 9 - (3.6 x 3 - 0.4)] + [14 - (3.6 x 4 - 0.4)] + [15 - (3.6 x 5 - 0.4)] + [21 - (3.6 x 6 - 0.4)] + [25 - (3.6 x 7 - 0.4)]
= 0.2 + 0.2 + 1.4 + 0 + 2.6 + 0.2 + 0.2
= 4.8
Find out more on absolute deviation at brainly.com/question/447169.
