Answer:
c. there is a positive correlation in-between x and y
Step-by-step explanation:
A regression line is a line that suggests that all the points in a scatter diagram lie on or near one particular line. In a simple regression analysis in which y is the dependent variable and x is the independent variable. If the slope is positive, the bivariate data is also said to have a positive correlation. The positive correlation in-between two variables x and y implies that in general, an increase in x goes hand in hand with an increase in y.
2.5% * y = 2.21
.025 * y = 2.21
y = 2.21/.025
y = 88.4
2.5% of 88.4 is 2.21
The answer is x = 2 and y = 17
