Joe is a real estate agent working in a suburban area. He collected data on houses in the neighborhood, including their sizes (in square feet) and sale prices (in dollars). He wants to use this data to help your clients understand how house size influences sale price. He uses simple linear regression to analyze the relationships between house size and sale price. Using the collected data, he fit a regression line to the points on a scatterplot, where the x-axis represents house size, and the y-axis represents sale price. After performing the regression analysis, he found the regression line equation. ZyBooks 5.1, 5.4, 5.5 Sale Price = 0 + 1 * House Size Sales Price ($000) = $136.1 + 0.135 * SqFt A 2,100 sqft home, Price ($000) = $136.1 + 0.135*2100 = $419.6 (000) Where: 0 is the intercept of the regression line. 1 is the slope of the regression line, representing the change in sale price for each unit increase in house size. da. How does the sales price change for each 100 sqft? ZyBooks 5.1, 5.2