Which of the following assumptions concerning the probability distribution of the random error term in a simple regression model is stated incorrectly? a. the distribution is normalb. the mean of the distribution is 0c. the errors are not independentd. the variance of the distribution is constantthe probability that a person tested positive on a screening test given that he/she has a disease is called the: a. negative predicitive valueb. positive predicitive valuec. sensitivityd. specificity

c

step-by-step explanation:

options a,b,c are the right answer.

step-by-step explanation:

a linear parent function is always represented as y = x

if we write this function in the form of y=mx+c

⇒

or  

now if we plot a graph we will find these characteristics:

1) y intercept of the graph is zero so its a straight line passing through origin.

2) as we can see in both the forms of function written, values of x and y may be either positive or negative for the positive slope means points on the graph are either in first quadrant or in third one.

3) it's slope is one.

wait nvm i know the correct answer now its 100%   81 square feet

~batmans wife dun dun