Would like to know the answer but see the equation for understanding. The scatter plot displays the relationship between the number of years an employee has worked and their annual salary. The x-axis represents the "Years worked," and the y-axis represents the "Annual salary (in dollars)." A trend line is drawn through the data points, indicating a possible linear relationship.Below the graph, there are instructions:- Use the line on the scatter plot to estimate the linear regression equation.- The slope of the line is provided as -7, which needs to be rounded to two decimal places.- The y-intercept of the line requires rounding to the nearest whole number.- The regression equation to be found is \(\hat{Y} = 0 + X\).The graph demonstrates how salary potentially changes over years of employment, suggesting an analysis of trends in workforce compensation based on experience.

We have given a scatterplot with regression line on it.Independent variable (X) is no of years worked and dependent variable (Y) is annual salary.As we just have given a scatterplot with regression line then for finding exact slope value we need the whole data but by using graph we can find the nearest value of slope as:For intercept:The value of intercept is where line passes through Y axis.In graph we can observed that line passes through the point 21000 there intercept = 21000Now for slope we consider two points where line passes through them:The two points from graph is (x1 ,y1 )=(9.1 , 24000) and (x2, y2)=(10.2 , 24400) ( note that the points considered are as close as possible from the graph only).Now, slope will be:As slope is positive then there is a positive relationship between X and Y. Therefore regression equation will be: The regression equation is: