Please use the given information to answer subquestions 10.a, 10.b, and 10.c 10.b1. The 95% confidence interval for the mean listed price per night ($) for all Airbnbs in NYC with 250 reviews is ($181.30, $216.5)2. The 95% prediction interval for the listed price per night ($) for an Airbnb in NYC with 250 reviews is ($15.62, $382.18)What do you notice about the width of these two intervals? Compare the width of the two intervals (confidence interval and prediction interval) byproviding the appropriate margin of errorDoes this relationship between the confidence interval and prediction interval hold for any value of x? Explain.No answer entered. Click above to enter an answer.10.cNormal Q-Q251001888..*O o 000000-3-2-1123Theoretical QuantilesIm(price - number_of_reviews)Clearly state the assumption that this graph can be used to check.Standardized residuals-12 Airbnb is an online marketplace used by many travelers when booking lodging all over the world. The company serves as a broker, receivingcommissions from each booking. Guests have the opportunity to give a review to their host once their lodging is complete. New York City (NYC) isknown for high lodging prices.We took a random sample of 343 Airbnb listings and recorded many variables including price per night (in dollars) and number of reviews (count). Wewould like to study the relationship between number of reviews (count) and price (in dollars) for all Airbnb listing in NYC. Using regression, we wouldlike to explore if the number of reviews (explanatory variable) has an effect on the listed price per night (response).Question 10 Subquestions10.aThe prediction interval for the price per night of one Airbnb listing in NYC would be narrowest for which of the following number of reviews?350 reviews78 reviews280 reviews10 reviews

Question

Accepted Answer

As sample size increases, the prediction interval becomes narrower.
Hence among sample sizes 350,…