below shows the numbers of newvehicle sales (in thousands) for Company 1 and Company 2 for 11 years. Construet and interpret a 95% prediction interval for newvehicle sales for Company 2 when the number of new vehicles sold by Company 1 is 2617 housand. The equation of the regression line is y1.202x436910 3435 Company 1, x Company 2, y 4074 3959 3572 3282 3061 2800 2513 1939 1912 4911 4814 4470 4497 4050 3803 2927 Construct and interpreta 95% prediction interval for new vehicle sales for Company 2 when the number of new vehicles sold by Company 1 is 2617 housand. Select the comect choice below and in the answer boxes to complete your choice Round to the nearest cent as needed.) OA We can be 95% confident that when the new vehicle sales for Company 1 is 2017 thousand, the new vehice sales for Company 2 wil be betweenand thousand. OB. There is a 9% chance that the predicted new vehicle sales for Company 2 is betweenand housand, given that the new vehicle sales for Company 1s 2617 thousand
below shows the numbers of newvehicle sales (in thousands) for Company 1 and Company 2 for 11 years. Construet and interpret a 95% prediction interval for newvehicle sales for Company 2 when the number of new vehicles sold by Company 1 is 2617 housand. The equation of the regression line is y1.202x436910 3435 Company 1, x Company 2, y 4074 3959 3572 3282 3061 2800 2513 1939 1912 4911 4814 4470 4497 4050 3803 2927 Construct and interpreta 95% prediction interval for new vehicle sales for Company 2 when the number of new vehicles sold by Company 1 is 2617 housand. Select the comect choice below and in the answer boxes to complete your choice Round to the nearest cent as needed.) OA We can be 95% confident that when the new vehicle sales for Company 1 is 2017 thousand, the new vehice sales for Company 2 wil be betweenand thousand. OB. There is a 9% chance that the predicted new vehicle sales for Company 2 is betweenand housand, given that the new vehicle sales for Company 1s 2617 thousand
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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