Which model is represented by the following graph?

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.
Let \[ A = \begin{bmatrix} 1 & 1 & 1 \\ 1 & 3 & 1 \\ -2 & -3 & -3 \end{bmatrix}, \quad b = \begin{bmatrix} b_1 \\ b_2 \\ b_3 \end{bmatrix}. \] For \( Ax = b \) to be solvable, which one of the following options is the correct condition on \( b_1, b_2, \) and \( b_3 \)?
The annual profit of a company depends on its annual marketing expenditure. The information of preceding 3 years' annual profit and marketing expenditure is given in the table. Based on linear regression, the estimated profit (in units) of the 4superscript{th year at a marketing expenditure of 5 units is ............ (Rounded off to two decimal places)} 
The following graph represents: