Which model is represented by the following graph?

Step 1: Graph Interpretation.
The provided graph depicts a linear relationship between a dependent and an independent variable, indicating a simple linear regression model.
Step 2: Option Evaluation.
- (A) Logistic regression model: Rejected. This model is for binary outcomes and generates a sigmoid curve, not a straight line.
- (B) Simple Linear regression model: Accepted. This model accurately represents a straight-line relationship between variables.
- (C) Multiple linear regression model: Rejected. This model incorporates multiple independent variables, whereas the graph shows only one.
- (D) k nearest neighbor model: Rejected. This non-parametric model does not produce a straight line.
Step 3: Determination.
The appropriate model is (B) Simple Linear regression model.
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)} 
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 \( b_3 \)?