12.1.6 In simple linear regression, the dependent variable is the: A. Input variable B. x variable C. y variable D. Coefficient of determination

C.) y variable

Step-by-step explanation:

In simple linear regression :

The dependent variable is the output variable = y variable

The simple linear regression is modeled using the general formula :

y = mx + c

Where;

y = output variable or dependent variable or predicted variable

m = gradient or slope of the regression line

x = input variable or independent variable or predictor variable

c = intercept ; where regression line crosses the y axis.

step-by-step explanation:

y = | -2(-2) |     →     y = | 4 |     →     y = 4       ⇒   (-2, 4)

y = | -2(-1) |     →     y = | 2 |     →       y =   2       ⇒   (-1, 2)    

y = | -2(0) |     →     y = | 0 |     →       y = 0         ⇒   (0, 0)

y = | -2(1) |   c →     y = | -2 |     →     y =   2         ⇒   (1, 2)    

y = | -2(2) |     →     y = | - 4 |     →     y =   4         ⇒   (2, 4)