Age and gender are often included in a regression model as a covariates, i. e, predictors, confounders, effect modifiers. But there are situations/studies where age (or gender) can be scientifically treated as the outcome, i. e., the response variable, or the so-called dependent variable. Give one example where age is the outcome and then give another example where gender is the outcome.

5x+40

5(x + 8)

7x - 49

7(x - 7)

18x + 9

9(2x + 1)

15x - 10

5(3x - 2)

step-by-step explanation:

for number one all you have to do is factor 5 out of 5x + 40

for number 2 factor 7 out of 7x - 49

for number three factor 9 out of 18x + 9

for number four factor 5 out of 15x - 10

hc ghfrfgb

step-by-step explanation:

gedfgb nbgfrezrdfgbn bgfderdfgbvn bvfdsvcb bvfdfgb gfdgb gfr

my name jeff

step-by-step explanation:

natural disasters at one point james charles' career

2 liters for 10   people

step-by-step explanation: