Linear Regression

Step 1: Understanding the graph.
The given graph shows a straight line representing a relationship between a dependent and independent variable. This is characteristic of a simple linear regression model, which models a linear relationship between two variables.

Step 2: Analysis of options.
- (A) Logistic regression model: Incorrect, logistic regression deals with binary outcomes and produces a sigmoid curve, not a straight line.
- (B) Simple Linear regression model: Correct, this is the model for a straight-line relationship between variables.
- (C) Multiple linear regression model: Incorrect, multiple linear regression involves more than one independent variable, but the graph here shows a single independent variable.
- (D) k nearest neighbor model: Incorrect, the k-nearest neighbor model would not produce a straight line; it is non-parametric.

Step 3: Conclusion.
The correct answer is (B) Simple Linear regression model.