at a large airport, data were recorded for on emonth on how mayn baggage items were unloaded on each flight upon arrival as well as the time to deliver all the baggage items on the fligh tto the baggage claim area

Answers

The correct option is (B) The actual time required to deliver all the items to the baggage claim area based on the number of items unloaded will be very close to the time predicted by a least-squares model.

What is least-square model (regression line)?

In order to find the line that is most suitable for a set of data, the least squares method is a type of mathematical regression analysis. It offers a visual representation of the relationship between both the data points.

Some characteristics of least square model are-

The correlation between a recognized independent variable but also an unknowable dependent variable is represented by each data point.

By reducing the total of the offsets and residuals of spots from either the plotted curve, the least squares approach is a statistical technique for identifying the best estimate for a group of data points.

In order to forecast the evolution of dependent variables, least squares is employed.

The location of such line of best fit amongst some of the data points under study is explained generally by the least squares method.

To know more about least square model/ regression line, here

At a large airport, data were recorded for one month on how many baggage items were unloaded from each flight upon arrival as well as the time required to deliver all the baggage items on the flight to the baggage claim area scatter plot of the two variables indicated a Strong; positive linear association between the variables_ Which of the following statements is a correct interpretation of the word ~strong in the description of the association?

(A) least-squares model predicts that the more baggage items that are unloaded from a flight; the greater the time required to deliver the items to the baggage claim area

(B) The actual time required to deliver all the items to the baggage claim area based on the number of items unloaded will be very close to the time predicted by a least-squares model .

(C) The time required to deliver an item to the baggage claim area is relatively constant; regardless of the number of baggage items unloaded from a flight,

(D) The variability in the time required to deliver all items to the baggage claim area is about the same for all flights, regardless of the number of items unloaded from flight

(E) The time required to unload baggage items from a flight is related to the time required to deliver the items to the baggage claim area.

actual timerequired to deliver all the items to the baggage claim area based on the number of items unloaded will be very close to the time predicted by aleast-squares model.## What is least-square model (regression line)?

regression analysis. It offers a visual representation of the relationship between both the data points.least square modelare-data point.dependent variables, least squares is employed.least square model/ regression line, herehttps://brainly.com/question/14563186#SPJ4