Answer:
C.(6, 4,2)
since every element of B is also an even number,so is an element of C
Answer:
Part 1) The surface that is shared by the two solids is the top of the cube that is the same that the square base of the pyramid.
Part 2) The dimensions of this surface are 6 in x 6 in.
Part 3) Molly needs to paint 228 square inches.
Step-by-step explanation:
Part 1) Which surface is shared by the two solids?
we know that The surface that is shared by the two solids is the top of the cube that is the same that the square base of the pyramid
Part 2) What are the dimensions of this surface?
The surface is a square with side length 6 inches so The dimensions of this surface are 6 in x 6 in
Part 3) what is the area molly needs to paint?
we know that The area that Molly needs to paint is equal to the surface area of the cube plus the surface area of the pyramid minus two times the area of the surface that is shared by the two solids so therefore, Molly needs to paint 228 square inches
Answer:
n= 27
Step-by-step explanation:
To solve first subtract the 90-degree angle:
180-90= 90
Then, convert into an equation:
3n+9= 90
Subtract 9 from both sides:
3n=81
Then divide by 3:
n= 27
Hope this helps!
Scale = 88 feet/5.5 inch = 16ft/inch or 16 feet = 1 inch Width = 76 feet x 1 inch/16 feet = 4.75 inches.
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.
