**an illustration that depicts a residential street with various houses of different sizes and architectural styles. Each house is represented by a data point on the graph. To highlight the concept of linear regression, you can plot a straight line that cuts through the houses, representing the best-fit line of the linear regression model. The best-fit line can symbolize the overall trend of housing prices based on features such as size, location, or other relevant attributes. The data points can represent the actual prices of the houses in the dataset. Additionally, you can add additional visual elements to emphasize the idea of housing, such as trees, gardens, or a silhouette of a happy family on the porch of one of the houses. These details can help create a cozy atmosphere related to the housing theme. This illustration combines the visual representation of houses and the linear regression line to convey the relationship between housing prices and associated features.** - Image #3 <@874331648219570176>
an illustration that depicts a residential street with various houses of different sizes and architectural styles. Each house is represented by a data point on the graph. To highlight the concept of linear regression, you can plot a straight line that cuts through the houses, representing the bestfit line of the linear regression model. The bestfit line can symbolize the overall trend of housing prices based on features such as size, location, or other relevant attributes. The data points can represent the actual prices of the houses in the dataset. Additionally, you can add additional visual elements to emphasize the idea of housing, such as trees, gardens, or a silhouette of a happy family on the porch of one of the houses. These details can help create a cozy atmosphere related to the housing theme. This illustration combines the visual representation of houses and the linear regression line to convey the relationship between housing prices and associated features.