Final answer:
The slope represents the relationship between the number of pages and the predicted value, while the y-intercept is the predicted value when the number of pages is zero.
Step-by-step explanation:
The slope in the Y intercept of the linear model in this context represents the relationship between the number of pages in the chapters of a book and the predicted value on the y-axis. The slope tells us how much the predicted value changes for a one-unit increase in the number of pages. The y-intercept represents the predicted value when the number of pages is zero.
For example, if the slope is 0.09, it means that for every one additional page in the chapter, the predicted value increases by 0.09 units. The y-intercept is the predicted value when the number of pages is zero, which in this case is approximately 35.25.
So, if you have a textbook with 400 pages, you can use the slope and y-intercept to predict the value of the variable you're studying. Similarly, for a textbook with 600 pages, you can use the same formula to predict the value.