The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day)mported by a country, for the last seven years. Construct and interpret a 95% prediction interval for the amount of crude oil imported by the this country when theamount of crude oil produced by the country is 5,508 thousand barrels per day. The equation of the regression line is y = - 1.120x + 15,839.271.Oil produced, x5,6845,6545,4525,1575,0615,0305,8269,68010,04110,15410,12110,060Oil imported, y9,3049,105Construct and interpret a 95% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,508 thousand barrelsper day. Select the correct choice below and fill in the answer boxes to complete your choice.(Round to the nearest cent as needed.)andO A. We can be 95% confident that when the amount of oil produced is 5,508 thousand barrels, the amount of oil imported will be betweenandthousand barrels, when there are 5,508 thousand barrels produced.O B. There is a 95% chance that the predicted amount of oil imported is between

Given: x y 5826 9304 5684 9105 5654 9680 5452 10041 5157 10154 5061 10121 5030…

The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the am mported by a country, for the last seven years. Construct and interpret a 95% prediction interval for the amount of crude oil imported by the this country when the amount of crude oil produced by the country is 5,508 thousand barrels per day. The equation of the regression line is y = - 1.120x+ 15,839.271. Oil produced, x 5,826 5,684 5,654 5,452 5,157 5,061 5,030 Oil imported, y 9,304 9,105 9,680 10,041 10,154 10,121 10,060 ..... Construct and interpret a 95% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,508 thousand barrels per day. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) O A. We can be 95% confident that when the amount of oil produced is 5,508 thousand barrels, the amount of oil imported will be between and O B. There is a 95% chance that the predicted amount of oil imported is between and thousand barrels, when there are 5,508 thousand barrels produced.

The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the am mported by a country, for the last seven years. Construct and interpret a 95% prediction interval for the amount of crude oil imported by the this country when the amount of crude oil produced by the country is 5,508 thousand barrels per day. The equation of the regression line is y = - 1.120x+ 15,839.271. Oil produced, x 5,826 5,684 5,654 5,452 5,157 5,061 5,030 Oil imported, y 9,304 9,105 9,680 10,041 10,154 10,121 10,060 ..... Construct and interpret a 95% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,508 thousand barrels per day. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) O A. We can be 95% confident that when the amount of oil produced is 5,508 thousand barrels, the amount of oil imported will be between and O B. There is a 95% chance that the predicted amount of oil imported is between and thousand barrels, when there are 5,508 thousand barrels produced.

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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Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

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The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day)
mported by a country, for the last seven years. Construct and interpret a 95% prediction interval for the amount of crude oil imported by the this country when the
amount of crude oil produced by the country is 5,508 thousand barrels per day. The equation of the regression line is y = - 1.120x + 15,839.271.
Oil produced, x
5,684
5,654
5,452
5,157
5,061
5,030
5,826
9,680
10,041
10,154
10,121
10,060
Oil imported, y
9,304
9,105
Construct and interpret a 95% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,508 thousand barrels
per day. Select the correct choice below and fill in the answer boxes to complete your choice.
(Round to the nearest cent as needed.)
and
O A. We can be 95% confident that when the amount of oil produced is 5,508 thousand barrels, the amount of oil imported will be between
and
thousand barrels, when there are 5,508 thousand barrels produced.
O B. There is a 95% chance that the predicted amount of oil imported is between

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