# Question

This figure shows an estimated linear equation along with its 95% prediction intervals. Assume that X counts customers and Y measures dollars.

(a) Visually estimate the intercept b0 and the slope b1.

(b) Is se (b1) less than 3, about 3, or more than 3?

(c) Is the value of r2 approximately equal to 0.2, 0.5, or 0.8?

(d) Estimate se, the standard deviation of the residuals.

(a) Visually estimate the intercept b0 and the slope b1.

(b) Is se (b1) less than 3, about 3, or more than 3?

(c) Is the value of r2 approximately equal to 0.2, 0.5, or 0.8?

(d) Estimate se, the standard deviation of the residuals.

## Answer to relevant Questions

The collection of emerald diamonds contains replications, several diamonds at each weight. Had we fit the linear equation using average price at each weight rather than individual diamonds, how would the fitted equation and ...Representing a large auto dealer, a buyer attends car auctions. To help with the bidding, the buyer built a regression equation to predict the resale value of cars purchased at the auction. The equation is Estimated Resale ...This data file contains a variety of accounting and financial values that describe 324 companies operating in the information sector in 2010. The largest of these provide telephone services. One column gives the expenses on ...1. Average of y given x in the SRM 2. Standard deviation of errors 3. Standard deviation of residuals 4. Ratio of b1 to its standard error 5. Approximate standard error of b1 6. Approximate prediction interval (l) μ y∣x = ...(a) If the observation marked with an “×” in the following plot is removed, how will the slope of the least squares line change? (b) What will happen to r2 and se? (c) Is this observation leveraged?Post your question

0