# Question: This figure shows an estimated linear equation with 95 prediction

This figure shows an estimated linear equation with 95% prediction intervals. Assume that the units of X and Y are dollars.

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

(b) Is se (b1) less than 1, about 1, or more than 1?

(c) Is r2 approximately 0.3, 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 1, about 1, or more than 1?

(c) Is r2 approximately 0.3, 0.5, or 0.8?

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

**View Solution:**## Answer to relevant Questions

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 ...The following output summarizes the results of fitting a least squares regression to simulated data. Because we constructed these data using a computer, we know the SRM holds and we know the parameters of the model. We chose ...This dataset includes the annual prices of 223 commercial leases. All of these leases provide office space in a Midwestern city in the United States. For the response, use the cost of the lease per square foot. As the ...The prior 4M exercise introduces the Capital Asset Pricing Model. The slope and intercept in this model have particularly important meaning, with b0 (known as alpha in finance) denoting the mean return of the idiosyncratic ...(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