The accompanying data table contains the prices and weights of the diamonds in 10 rings offered for sale. The prices are in dollars and the weights in carats. A simple regression model (SRM) of the data is also found below. Add an imaginary diamond that weighs 45.56 carats and costs $39 million to the data and construct a new SRM. Use price as the response and weight as the explanatory variable. Complete parts a through d below. Click the icon to view the data. Click the icon to view the SRM. A. Due to the scaling, only two points are visible, one for the imaginary diamond and one for the other 10 rings. B. Only the nearly horizontal least squares line passing through the point for the imaginary diamond is visible. C. All the points are visible, but due to the scaling, the 10 smaller rings are tightly clustered. D. Only the nearly vertical least squares line passing through the point for the imaginary diamond is visible. (b) How does the fitted equation of the SRM to this data change with the addition of this one case? The slope from 3,825 to dollars/carat and the intercept (Round to the nearest whole number as needed.) from -299 to dollars.