Which of the following is not a condition required for the regression procedure used in the exercises above to be statistically valid? Select all that apply.

A. The true errors must be normally-distributed.
B. The explanatory variable must be normally-distributed
C. The true relationship between the response and explanatory variables must be linear
D. The size of the sample must be sufficiently large, i. e., greater than n = 25
E. The response variable must be normally-distributed.

A, E, B, and C

Step-by-step explanation:

A regression procedure require all of the following

1. Linearity: The relationship between X and the mean of Y must always be linear. C fulfills this condition

2. Homoscedasticity: Sometimes known as the homogeneity of avariance is always same for any given value of X. A also fulfills this condition.

3. Normality: A fixed values of X, and Y is always normally distributed. B and E fulfills this condition.

let's solve your equation step-by-step.

4x+2=2x+12

step 1: subtract 2x from both sides.

4x+2−2x=2x+12−2x

2x+2=12

step 2: subtract 2 from both sides.

2x+2−2=12−2

2x=10

step 3: divide both sides by 2.

2x

2

=

10

2

x=5

step-by-step explanation:

c

step-by-step explanation:

i think because what else can be a sample of every member