Answer:
um all you do is multiply 21 as the length by 14 was the width (LxW)
Step-by-step explanation:
=294 is your answer I think ...
Complete question is;
Regarding the violation of multicollinearity, which of the following description is wrong?
a. It changes the intercept of the regression line.
b. It changes the sign of the slope.
c. It changes the slope of the regression line.
d. It changes the value of F-tests.
e. It changes the value of T-tests
Answer:
a. It changes the intercept of the regression line
Step-by-step explanation:
Multicollinearity is a term used in multiple regression analysis to show a high correlation between independent variables of a study.
Since it deals with independent variables correlation, it means it must be found before getting the regression equation.
Now, looking at the options, the one that doesn't relate with multicollinearity is option A because the intercept of the regression line is the value of y that is predicted when x is 0. Meanwhile, multicollinearity from definition above does in no way change the intercept of the regression line because it doesn't predict the y-value when x is zero.
Answer:
Option D is not true
Step-by-step explanation:
Whole Numbers (W) = They include Natural numbers (N) and 0.
In order for the sales team to give the impression to their company that there was a large increasse in sales over a six month time period, they need to create a graph that have time period as the label of their x-axis or the horizontal label and sales as the label of their y-axis or the vertical label.
