The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same countryfor seven years. The equation of the regression line is y=-1.196x+16,255.09. Complete parts (a) and (b) below.Produced, xImported, y(a) Find the coefficient of determination and interpret the result(Round to three decimal places as needed.)How can the coefficient of determination be interpreted?The fraction of the variation in the amount ofthe variation is unexplained and is due to other factors or to sampling error.(b) Find the standard error of estimates, and interpret the result.thousands of barrels per day(Round to three decimal places as needed.)How can the standard error of estimate be interpreted?The standard error of estimate of the amount of5,8279,349for5,701 5,590 5410 5.216 5,105 5,0359,107 9,654 10,059 10,105 10,198 10,003BULLMthat can be explained by the variation in the amount ofofis aboutThe remaining fractionNext

Given Information: The regression equation is, y^=-1.196x+16255.09

Answered: The table shows the amounts of crude…

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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The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−50.8+0.3x1+5.1x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
There is a linear relationship between the number of chirps made by the stiped ground cricket and the air temperature. It was determined that the linear regression model is: y = 25.2 + 3.3x where x is the number of chirps per minute and y is the estimated temperature in degrees Fahrenheit. What is the predicted number of chirps made when the temperature is 60 degrees Fahrenheit? Round to the nearest integer. Do not include units.
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Write down the two regression equation.
Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9-0.00749x, where x represents weight Complete parts (a) through (d). Click the icon to view the car data. 東 b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0.007499. B. The slope is -0.00749 and the y-intercept is 58.9. O C. The slope is 58.9 and the y-intercept is -0.00749. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. B. The predictor variable is weight, which is represented by x. O C. The predictor variable is weight, which is represented by y O D. The predictor variable is highway fuel consumption, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel…
Please solve only part d) and part e)
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