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.
Regression Analysis is defined as the set of statistical and reliable processes for establishing the relationship between the independent and dependent variables.
The correct statement can be given as:
In a simple regression analysis (where y is a dependent and x an independent variable), if the slope is positive, then it must be true that there is a positive correlation between x and y.
The regression line suggests that all the points lie near a particular line. It can be explained as:
1. In a simple regression analysis, the dependent variable is y.
2. Similarly, the independent variable is x.
3. Given, if the slope is positive, then the correlation will be positive.
4. The positive relation implies that if x increases then they will also increase in simple regression analysis.
Thus, in the simple regression analysis there exists a positive correlation between x and y.
To know more about simple regression lines, refer to the following link:
https://brainly.com/question/7656407
